words
parent
738d07dc3e
commit
e4fcd42f23
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*.mp3
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*.wav
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#!/bin/bash
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#
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# vosk can also output JSON that includes the timing of each individual
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# detected WORD!
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# NOTE: I had an error when I did this and needed to PATCH some PYTHON code in VOSK
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# see VOSKPATCH.TXT
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vosk-transcriber -l en-us -i worm25_mia_60.wav -t json -o worm25_mia_60.json
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vosk-transcriber -l en-us -i w25mia60.wav -t json -o w25mia60.json
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# This file is part of Active Archives.
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# Copyright 2006-2016 the Active Archives contributors (see AUTHORS)
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as
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# published by the Free Software Foundation, either version 3 of the
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# License, or (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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# Also add information on how to contact you by electronic and paper mail.
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from __future__ import print_function
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import math
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import re
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# timecode_pat = re.compile(r"(\d+):(\d+):(\d+)(?:[.,](\d+))?")
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timecode_pat = re.compile(r"(?:(\d+):)?(\d+):(\d+)(?:[.,](\d+))?")
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def timecode_fromsecs(rawsecs, fract=True, alwaysfract=False, fractdelim=',', alwayshours=False):
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# returns a string in HH:MM:SS[.xxx] notation
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# if fract is True, uses .xxx if either necessary (non-zero)
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# OR alwaysfract is True
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hours = math.floor(rawsecs / 3600)
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rawsecs -= hours * 3600
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mins = math.floor(rawsecs / 60)
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rawsecs -= mins * 60
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if fract:
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secs = math.floor(rawsecs)
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rawsecs -= secs
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if (rawsecs > 0 or alwaysfract):
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fract = "%.03f" % rawsecs
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if hours or alwayshours:
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return "%02d:%02d:%02d%s%s" % (hours, mins, secs, fractdelim, \
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fract[2:])
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else:
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return "%02d:%02d%s%s" % (mins, secs, fractdelim, fract[2:])
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else:
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if hours or alwayshours:
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return "%02d:%02d:%02d" % (hours, mins, secs)
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else:
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return "%02d:%02d" % (mins, secs)
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else:
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secs = round(rawsecs)
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if hours or alwayshours:
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return "%02d:%02d:%02d" % (hours, mins, secs)
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else:
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return "%02d:%02d" % (mins, secs)
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def timecode_tosecs(tcstr):
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r = timecode_pat.search(tcstr)
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if r:
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ret = 0
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if r.group(1):
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ret += 3600 * int(r.group(1))
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ret += 60 * int(r.group(2))
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ret += int(r.group(3))
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if (r.group(4)):
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ret = float(str(ret) + "." + r.group(4))
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return ret
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else:
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return None
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def parse2secs(val):
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try:
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return float(val)
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except ValueError:
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return timecode_tosecs(val)
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## to accept None
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# except TypeError:
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# return
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if __name__ == "__main__":
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def t(x):
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# with fraction
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s = timecode_fromsecs(x, True, False)
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print (x, "=>", s, "=>", timecode_tosecs(s))
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# without fraction
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s = timecode_fromsecs(x, False)
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print (x, "=>", s, "=>", timecode_tosecs(s))
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t(0)
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t(59.666666666666666)
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t(60)
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t(60.0)
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t(1235 / 3.0)
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t(10000.5)
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#!/usr/bin/env python
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import json
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import argparse
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import sys
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# requires: timecode.py
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# some functions to help working with (srt/vtt) timecodes
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from timecode import timecode_fromsecs
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ap = argparse.ArgumentParser("convert VOSK json output into a special vtt with timed json per word")
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ap.add_argument('infile', nargs='?', type=argparse.FileType('r'), default=sys.stdin)
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ap.add_argument('outfile', nargs='?', type=argparse.FileType('w'), default=sys.stdout)
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args = ap.parse_args()
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data = json.load(args.infile)
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def tc(s):
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return timecode_fromsecs(s, alwaysfract=True, fractdelim=".")
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print ("WEBVTT", file=args.outfile)
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print (file=args.outfile)
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for m in data['monologues']:
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for term in m['terms']:
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if term['type'] == "WORD":
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print (f"{tc(term['start'])} --> {tc(term['end'])}", file=args.outfile)
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# print (f"{term['text']}")
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tterm = {'text': term['text'], 'confidence': term['confidence']}
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print (json.dumps(tterm), file=args.outfile)
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print (file=args.outfile)
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<!DOCTYPE html>
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<html xmlns="http://www.w3.org/1999/xhtml" lang="" xml:lang="">
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<head>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
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<style>
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#word {
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position:relative;
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text-align: center;
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}
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#word .content {
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font-size: 100px;
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color: black;
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}
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#word .content.iffy {
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color: lightpink;
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}
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</style>
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</head>
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<body>
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<audio controls style="width: 100%">
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<track kind="metadata" id="metadata" label="captions" src="w25mia60_words.vtt"></track>
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<source src="w25mia60.mp3">
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</audio>
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<div id="word">
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<div class="content">hello</div>
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</div>
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<script>
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const word_content = document.querySelector("#word .content");
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const track = document.querySelector("track#metadata");
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track.addEventListener("cuechange", function (e) {
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// console.log(`track: cuechange: ${this}`);
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if (this.track.activeCues) {
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let word = this.track.activeCues[0]?.text;
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console.log("word", word);
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if (word) {
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word = JSON.parse(word);
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word_content.innerText = word['text'];
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word_content.style.fontSize = (100 * word['confidence']) + "px";
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if (word['confidence'] < 1.0 && !word_content.classList.contains("iffy")) {
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word_content.classList.add("iffy");
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} else if (word_content.classList.contains("iffy")) {
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word_content.classList.remove("iffy");
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}
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}
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}
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});
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track.track.mode = "hidden";
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</script>
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</body>
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</html>
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File diff suppressed because one or more lines are too long
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WEBVTT
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00:00.076 --> 00:00.270
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{"text": "have", "confidence": 1.0}
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00:00.270 --> 00:00.330
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{"text": "a", "confidence": 1.0}
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00:00.330 --> 00:00.870
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{"text": "particular", "confidence": 1.0}
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00:00.870 --> 00:01.560
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{"text": "connection", "confidence": 1.0}
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00:01.650 --> 00:01.800
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{"text": "to", "confidence": 1.0}
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00:01.800 --> 00:02.190
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{"text": "worms", "confidence": 1.0}
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00:02.250 --> 00:02.610
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{"text": "inner", "confidence": 1.0}
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00:02.610 --> 00:02.940
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{"text": "and", "confidence": 1.0}
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00:02.970 --> 00:03.330
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{"text": "outer", "confidence": 1.0}
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00:03.390 --> 00:04.140
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{"text": "workings", "confidence": 1.0}
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00:04.980 --> 00:05.070
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{"text": "i", "confidence": 1.0}
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00:05.070 --> 00:05.340
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{"text": "wanted", "confidence": 1.0}
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00:05.340 --> 00:05.700
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{"text": "to", "confidence": 1.0}
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00:05.730 --> 00:05.970
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{"text": "make", "confidence": 1.0}
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00:05.970 --> 00:06.060
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{"text": "the", "confidence": 1.0}
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00:06.060 --> 00:06.600
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{"text": "series", "confidence": 1.0}
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00:06.600 --> 00:07.110
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{"text": "because", "confidence": 1.0}
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00:07.140 --> 00:07.440
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{"text": "one", "confidence": 0.715959}
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00:07.440 --> 00:07.590
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{"text": "has", "confidence": 1.0}
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00:07.590 --> 00:08.190
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{"text": "become", "confidence": 1.0}
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00:08.280 --> 00:08.640
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{"text": "over", "confidence": 1.0}
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00:08.640 --> 00:08.940
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{"text": "twenty", "confidence": 1.0}
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00:08.940 --> 00:09.210
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{"text": "five", "confidence": 1.0}
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00:09.210 --> 00:09.690
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{"text": "years", "confidence": 1.0}
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00:09.690 --> 00:09.870
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{"text": "and", "confidence": 0.868049}
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00:09.870 --> 00:10.710
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{"text": "institution", "confidence": 1.0}
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00:11.460 --> 00:11.610
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{"text": "but", "confidence": 1.0}
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00:11.610 --> 00:11.700
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{"text": "an", "confidence": 1.0}
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00:11.700 --> 00:12.360
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{"text": "institution", "confidence": 1.0}
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00:12.360 --> 00:12.750
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{"text": "built", "confidence": 1.0}
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00:13.140 --> 00:13.495
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{"text": "with", "confidence": 1.0}
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00:13.500 --> 00:13.620
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{"text": "and", "confidence": 0.908873}
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00:13.620 --> 00:14.130
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{"text": "for", "confidence": 0.664659}
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00:14.130 --> 00:14.280
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{"text": "and", "confidence": 1.0}
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00:14.280 --> 00:14.850
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{"text": "from", "confidence": 1.0}
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00:14.880 --> 00:14.970
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{"text": "a", "confidence": 1.0}
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00:14.970 --> 00:15.120
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{"text": "d", "confidence": 1.0}
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00:15.120 --> 00:15.240
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{"text": "i", "confidence": 1.0}
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00:15.240 --> 00:15.480
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{"text": "y", "confidence": 1.0}
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00:15.480 --> 00:16.110
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{"text": "spirits", "confidence": 1.0}
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00:16.590 --> 00:16.740
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{"text": "and", "confidence": 0.821086}
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00:16.740 --> 00:17.160
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{"text": "something", "confidence": 1.0}
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00:17.220 --> 00:17.400
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{"text": "that", "confidence": 1.0}
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00:17.400 --> 00:17.460
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{"text": "it", "confidence": 1.0}
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00:17.460 --> 00:17.670
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{"text": "still", "confidence": 1.0}
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00:17.670 --> 00:18.390
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{"text": "retains", "confidence": 1.0}
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00:18.900 --> 00:19.080
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{"text": "it's", "confidence": 1.0}
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00:19.080 --> 00:19.170
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{"text": "the", "confidence": 1.0}
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00:19.170 --> 00:19.470
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{"text": "nature", "confidence": 1.0}
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00:19.470 --> 00:19.560
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{"text": "of", "confidence": 1.0}
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00:19.560 --> 00:19.710
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{"text": "do", "confidence": 1.0}
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00:19.710 --> 00:19.800
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{"text": "i", "confidence": 1.0}
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00:19.800 --> 00:20.018
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{"text": "was", "confidence": 1.0}
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00:20.018 --> 00:20.490
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{"text": "spaces", "confidence": 0.697723}
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00:20.490 --> 00:20.640
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{"text": "of", "confidence": 1.0}
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00:20.640 --> 00:21.060
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{"text": "course", "confidence": 1.0}
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00:21.060 --> 00:21.240
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{"text": "and", "confidence": 1.0}
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00:21.240 --> 00:21.420
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{"text": "any", "confidence": 1.0}
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00:21.420 --> 00:21.810
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{"text": "cultural", "confidence": 1.0}
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00:21.810 --> 00:22.410
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{"text": "spaces", "confidence": 1.0}
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00:22.470 --> 00:22.710
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{"text": "that", "confidence": 1.0}
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00:22.710 --> 00:23.040
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{"text": "people", "confidence": 1.0}
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00:23.040 --> 00:23.190
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{"text": "who", "confidence": 1.0}
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00:23.190 --> 00:23.490
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{"text": "make", "confidence": 1.0}
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00:23.490 --> 00:23.610
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{"text": "it", "confidence": 1.0}
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00:23.610 --> 00:23.880
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{"text": "come", "confidence": 1.0}
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00:23.880 --> 00:23.970
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{"text": "and", "confidence": 1.0}
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||||
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00:23.970 --> 00:24.390
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{"text": "go", "confidence": 1.0}
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00:24.570 --> 00:24.690
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{"text": "the", "confidence": 1.0}
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00:24.690 --> 00:24.900
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{"text": "name", "confidence": 1.0}
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00:24.900 --> 00:25.020
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{"text": "on", "confidence": 1.0}
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00:25.020 --> 00:25.080
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||||
{"text": "the", "confidence": 1.0}
|
||||
|
||||
00:25.080 --> 00:25.410
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||||
{"text": "building", "confidence": 1.0}
|
||||
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00:25.410 --> 00:25.740
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{"text": "stays", "confidence": 1.0}
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00:25.740 --> 00:25.830
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||||
{"text": "the", "confidence": 1.0}
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00:25.830 --> 00:26.160
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{"text": "same", "confidence": 1.0}
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00:26.160 --> 00:26.370
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{"text": "but", "confidence": 1.0}
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||||
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00:26.370 --> 00:26.460
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{"text": "the", "confidence": 1.0}
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00:26.460 --> 00:26.880
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{"text": "vibe", "confidence": 1.0}
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00:26.970 --> 00:27.630
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{"text": "changes", "confidence": 1.0}
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00:28.020 --> 00:28.200
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{"text": "and", "confidence": 1.0}
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00:28.200 --> 00:28.260
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{"text": "the", "confidence": 1.0}
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00:28.260 --> 00:28.560
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||||
{"text": "sense", "confidence": 1.0}
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||||
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00:28.560 --> 00:28.680
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||||
{"text": "of", "confidence": 1.0}
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||||
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00:28.680 --> 00:29.190
|
||||
{"text": "identity", "confidence": 1.0}
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||||
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||||
00:29.190 --> 00:29.880
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||||
{"text": "shifts", "confidence": 1.0}
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||||
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00:31.020 --> 00:31.440
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||||
{"text": "worm", "confidence": 1.0}
|
||||
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||||
00:31.470 --> 00:31.710
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||||
{"text": "is", "confidence": 1.0}
|
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||||
00:31.710 --> 00:31.770
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||||
{"text": "a", "confidence": 1.0}
|
||||
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00:31.770 --> 00:32.070
|
||||
{"text": "place", "confidence": 1.0}
|
||||
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00:32.070 --> 00:32.190
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||||
{"text": "of", "confidence": 1.0}
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00:32.190 --> 00:32.850
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||||
{"text": "invention", "confidence": 1.0}
|
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||||
00:32.850 --> 00:33.000
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||||
{"text": "and", "confidence": 1.0}
|
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|
||||
00:33.000 --> 00:33.810
|
||||
{"text": "reinvention", "confidence": 1.0}
|
||||
|
||||
00:33.810 --> 00:34.170
|
||||
{"text": "and", "confidence": 1.0}
|
||||
|
||||
00:34.230 --> 00:34.410
|
||||
{"text": "with", "confidence": 0.722413}
|
||||
|
||||
00:34.410 --> 00:34.500
|
||||
{"text": "the", "confidence": 1.0}
|
||||
|
||||
00:34.500 --> 00:34.920
|
||||
{"text": "constant", "confidence": 1.0}
|
||||
|
||||
00:34.920 --> 00:35.460
|
||||
{"text": "motion", "confidence": 1.0}
|
||||
|
||||
00:35.520 --> 00:35.880
|
||||
{"text": "certain", "confidence": 1.0}
|
||||
|
||||
00:35.880 --> 00:36.390
|
||||
{"text": "stories", "confidence": 1.0}
|
||||
|
||||
00:36.390 --> 00:36.510
|
||||
{"text": "and", "confidence": 1.0}
|
||||
|
||||
00:36.510 --> 00:37.050
|
||||
{"text": "memories", "confidence": 1.0}
|
||||
|
||||
00:37.080 --> 00:37.380
|
||||
{"text": "do", "confidence": 0.854091}
|
||||
|
||||
00:37.410 --> 00:37.680
|
||||
{"text": "fade", "confidence": 1.0}
|
||||
|
||||
00:37.680 --> 00:38.070
|
||||
{"text": "away", "confidence": 1.0}
|
||||
|
||||
00:38.640 --> 00:39.120
|
||||
{"text": "sometimes", "confidence": 1.0}
|
||||
|
||||
00:39.120 --> 00:39.330
|
||||
{"text": "quite", "confidence": 1.0}
|
||||
|
||||
00:39.330 --> 00:39.870
|
||||
{"text": "quickly", "confidence": 1.0}
|
||||
|
||||
00:40.770 --> 00:40.890
|
||||
{"text": "the", "confidence": 1.0}
|
||||
|
||||
00:40.890 --> 00:41.160
|
||||
{"text": "idea", "confidence": 1.0}
|
||||
|
||||
00:41.160 --> 00:41.310
|
||||
{"text": "of", "confidence": 1.0}
|
||||
|
||||
00:41.340 --> 00:41.730
|
||||
{"text": "this", "confidence": 1.0}
|
||||
|
||||
00:41.790 --> 00:42.240
|
||||
{"text": "history", "confidence": 1.0}
|
||||
|
||||
00:42.240 --> 00:42.362
|
||||
{"text": "of", "confidence": 1.0}
|
||||
|
||||
00:42.362 --> 00:42.564
|
||||
{"text": "why", "confidence": 0.478323}
|
||||
|
||||
00:42.564 --> 00:42.780
|
||||
{"text": "i'm", "confidence": 1.0}
|
||||
|
||||
00:42.870 --> 00:43.080
|
||||
{"text": "not", "confidence": 1.0}
|
||||
|
||||
00:43.080 --> 00:43.200
|
||||
{"text": "the", "confidence": 1.0}
|
||||
|
||||
00:43.260 --> 00:43.620
|
||||
{"text": "only", "confidence": 1.0}
|
||||
|
||||
00:43.650 --> 00:44.130
|
||||
{"text": "possible", "confidence": 1.0}
|
||||
|
||||
00:44.160 --> 00:44.640
|
||||
{"text": "history", "confidence": 1.0}
|
||||
|
||||
00:44.670 --> 00:44.790
|
||||
{"text": "of", "confidence": 1.0}
|
||||
|
||||
00:44.790 --> 00:45.270
|
||||
{"text": "course", "confidence": 1.0}
|
||||
|
||||
00:45.330 --> 00:45.510
|
||||
{"text": "is", "confidence": 1.0}
|
||||
|
||||
00:45.510 --> 00:45.630
|
||||
{"text": "to", "confidence": 1.0}
|
||||
|
||||
00:45.630 --> 00:45.930
|
||||
{"text": "try", "confidence": 1.0}
|
||||
|
||||
00:45.930 --> 00:46.080
|
||||
{"text": "and", "confidence": 1.0}
|
||||
|
||||
00:46.080 --> 00:46.650
|
||||
{"text": "capture", "confidence": 1.0}
|
||||
|
||||
00:47.040 --> 00:47.160
|
||||
{"text": "a", "confidence": 1.0}
|
||||
|
||||
00:47.160 --> 00:47.370
|
||||
{"text": "few", "confidence": 1.0}
|
||||
|
||||
00:47.370 --> 00:47.460
|
||||
{"text": "of", "confidence": 1.0}
|
||||
|
||||
00:47.460 --> 00:47.700
|
||||
{"text": "those", "confidence": 1.0}
|
||||
|
||||
00:47.700 --> 00:48.210
|
||||
{"text": "stories", "confidence": 1.0}
|
||||
|
||||
00:48.240 --> 00:48.360
|
||||
{"text": "with", "confidence": 1.0}
|
||||
|
||||
00:48.360 --> 00:48.420
|
||||
{"text": "the", "confidence": 1.0}
|
||||
|
||||
00:48.420 --> 00:48.750
|
||||
{"text": "people", "confidence": 1.0}
|
||||
|
||||
00:48.750 --> 00:48.900
|
||||
{"text": "that", "confidence": 1.0}
|
||||
|
||||
00:48.930 --> 00:49.080
|
||||
{"text": "i've", "confidence": 1.0}
|
||||
|
||||
00:49.080 --> 00:49.530
|
||||
{"text": "met", "confidence": 1.0}
|
||||
|
||||
00:49.950 --> 00:50.121
|
||||
{"text": "and", "confidence": 1.0}
|
||||
|
||||
00:50.139 --> 00:50.370
|
||||
{"text": "people", "confidence": 1.0}
|
||||
|
||||
00:50.370 --> 00:50.490
|
||||
{"text": "that", "confidence": 0.966533}
|
||||
|
||||
00:50.490 --> 00:50.748
|
||||
{"text": "maria", "confidence": 0.314138}
|
||||
|
||||
00:50.748 --> 00:50.910
|
||||
{"text": "it", "confidence": 0.542389}
|
||||
|
||||
00:50.934 --> 00:51.120
|
||||
{"text": "has", "confidence": 1.0}
|
||||
|
||||
00:51.120 --> 00:51.570
|
||||
{"text": "known", "confidence": 0.49303}
|
||||
|
||||
00:51.960 --> 00:52.230
|
||||
{"text": "along", "confidence": 1.0}
|
||||
|
||||
00:52.230 --> 00:52.320
|
||||
{"text": "the", "confidence": 1.0}
|
||||
|
||||
00:52.320 --> 00:52.680
|
||||
{"text": "way", "confidence": 1.0}
|
||||
|
||||
00:53.790 --> 00:53.940
|
||||
{"text": "but", "confidence": 1.0}
|
||||
|
||||
00:53.940 --> 00:54.000
|
||||
{"text": "i'm", "confidence": 1.0}
|
||||
|
||||
00:54.000 --> 00:54.090
|
||||
{"text": "not", "confidence": 1.0}
|
||||
|
||||
00:54.090 --> 00:54.210
|
||||
{"text": "going", "confidence": 1.0}
|
||||
|
||||
00:54.210 --> 00:54.270
|
||||
{"text": "to", "confidence": 1.0}
|
||||
|
||||
00:54.270 --> 00:54.630
|
||||
{"text": "begin", "confidence": 1.0}
|
||||
|
||||
00:54.660 --> 00:54.780
|
||||
{"text": "at", "confidence": 1.0}
|
||||
|
||||
00:54.780 --> 00:54.840
|
||||
{"text": "the", "confidence": 1.0}
|
||||
|
||||
00:54.840 --> 00:55.380
|
||||
{"text": "beginning", "confidence": 1.0}
|
||||
|
||||
00:55.920 --> 00:56.130
|
||||
{"text": "that", "confidence": 1.0}
|
||||
|
||||
00:56.130 --> 00:56.250
|
||||
{"text": "would", "confidence": 1.0}
|
||||
|
||||
00:56.250 --> 00:56.340
|
||||
{"text": "be", "confidence": 1.0}
|
||||
|
||||
00:56.340 --> 00:56.730
|
||||
{"text": "logical", "confidence": 1.0}
|
||||
|
||||
00:56.730 --> 00:56.880
|
||||
{"text": "but", "confidence": 1.0}
|
||||
|
||||
00:56.880 --> 00:57.210
|
||||
{"text": "actually", "confidence": 1.0}
|
||||
|
||||
00:57.210 --> 00:57.300
|
||||
{"text": "have", "confidence": 1.0}
|
||||
|
||||
00:57.300 --> 00:57.540
|
||||
{"text": "already", "confidence": 1.0}
|
||||
|
||||
00:57.540 --> 00:58.020
|
||||
{"text": "begun", "confidence": 1.0}
|
||||
|
||||
00:58.050 --> 00:58.680
|
||||
{"text": "obviously", "confidence": 1.0}
|
||||
|
||||
00:58.680 --> 00:58.860
|
||||
{"text": "and", "confidence": 1.0}
|
||||
|
||||
00:58.860 --> 00:59.370
|
||||
{"text": "today's", "confidence": 1.0}
|
||||
|
||||
00:59.370 --> 00:59.970
|
||||
{"text": "episode", "confidence": 1.0}
|
||||
|
||||
Loading…
Reference in New Issue