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#!/usr/bin/env python3
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#!/usr/bin/env python3
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# https://github.com/Uberi/speech_recognition/blob/master/examples/audio_transcribe.py
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import speech_recognition as sr
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import speech_recognition as sr
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import sys
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import sys
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from termcolor import cprint, colored
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from termcolor import cprint, colored
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# obtain path to "english.wav" in the same folder as this script
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from os import path
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from os import path
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import random
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import random
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a1 = sys.argv[1] #same as $1 so when you run python3 audio_transcribe.py FOO ... argv[1] is FOO
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a1 = sys.argv[1] #same as $1 so when you run python3 audio_transcribe.py FOO ... argv[1] is FOO
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# print ("transcribing", a1, file=sys.stderr)
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# print ("transcribing", a1, file=sys.stderr)
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AUDIO_FILE = path.join(path.dirname(path.realpath(__file__)), a1) # before it was english.wav
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AUDIO_FILE = path.join(path.dirname(path.realpath(__file__)), a1) # before it was english.wav
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# AUDIO_FILE = path.join(path.dirname(path.realpath(__file__)), "french.aiff")
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# AUDIO_FILE = path.join(path.dirname(path.realpath(__file__)), "chinese.flac")
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# print (AUDIO_FILE)
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# use the audio file as the audio source
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# use the audio file as the audio source
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r = sr.Recognizer()
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r = sr.Recognizer()
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with sr.AudioFile(AUDIO_FILE) as source:
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with sr.AudioFile(AUDIO_FILE) as source:
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@ -21,8 +19,8 @@ with sr.AudioFile(AUDIO_FILE) as source:
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color = ["white", "yellow"]
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color = ["white", "yellow"]
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on_color = ["on_red", "on_magenta", "on_blue", "on_grey"]
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on_color = ["on_red", "on_magenta", "on_blue", "on_grey"]
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# recognize speech using Sphinx
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# recognize speech using Sphinx
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try:
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try:
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cprint( r.recognize_sphinx(audio), random.choice(color), random.choice(on_color))
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cprint( r.recognize_sphinx(audio), random.choice(color), random.choice(on_color))
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# print( r.recognize_sphinx(audio))
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# print( r.recognize_sphinx(audio))
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@ -33,60 +31,3 @@ except sr.RequestError as e:
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# sleep (1)
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# sleep (1)
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# # recognize speech using Google Speech Recognition
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# try:
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# # for testing purposes, we're just using the default API key
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# # to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
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# # instead of `r.recognize_google(audio)`
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# print("Google Speech Recognition thinks you said " + r.recognize_google(audio))
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# except sr.UnknownValueError:
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# print("Google Speech Recognition could not understand audio")
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# except sr.RequestError as e:
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# print("Could not request results from Google Speech Recognition service; {0}".format(e))
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# # recognize speech using Google Cloud Speech
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# GOOGLE_CLOUD_SPEECH_CREDENTIALS = r"""INSERT THE CONTENTS OF THE GOOGLE CLOUD SPEECH JSON CREDENTIALS FILE HERE"""
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# try:
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# print("Google Cloud Speech thinks you said " + r.recognize_google_cloud(audio, credentials_json=GOOGLE_CLOUD_SPEECH_CREDENTIALS))
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# except sr.UnknownValueError:
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# print("Google Cloud Speech could not understand audio")
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# except sr.RequestError as e:
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# print("Could not request results from Google Cloud Speech service; {0}".format(e))
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# # recognize speech using Wit.ai
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# WIT_AI_KEY = "INSERT WIT.AI API KEY HERE" # Wit.ai keys are 32-character uppercase alphanumeric strings
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# try:
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# print("Wit.ai thinks you said " + r.recognize_wit(audio, key=WIT_AI_KEY))
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# except sr.UnknownValueError:
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# print("Wit.ai could not understand audio")
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# except sr.RequestError as e:
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# print("Could not request results from Wit.ai service; {0}".format(e))
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# # recognize speech using Microsoft Bing Voice Recognition
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# BING_KEY = "INSERT BING API KEY HERE" # Microsoft Bing Voice Recognition API keys 32-character lowercase hexadecimal strings
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# try:
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# print("Microsoft Bing Voice Recognition thinks you said " + r.recognize_bing(audio, key=BING_KEY))
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# except sr.UnknownValueError:
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# print("Microsoft Bing Voice Recognition could not understand audio")
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# except sr.RequestError as e:
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# print("Could not request results from Microsoft Bing Voice Recognition service; {0}".format(e))
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# # recognize speech using Houndify
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# HOUNDIFY_CLIENT_ID = "INSERT HOUNDIFY CLIENT ID HERE" # Houndify client IDs are Base64-encoded strings
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# HOUNDIFY_CLIENT_KEY = "INSERT HOUNDIFY CLIENT KEY HERE" # Houndify client keys are Base64-encoded strings
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# try:
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# print("Houndify thinks you said " + r.recognize_houndify(audio, client_id=HOUNDIFY_CLIENT_ID, client_key=HOUNDIFY_CLIENT_KEY))
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# except sr.UnknownValueError:
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# print("Houndify could not understand audio")
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# except sr.RequestError as e:
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# print("Could not request results from Houndify service; {0}".format(e))
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# # recognize speech using IBM Speech to Text
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# IBM_USERNAME = "INSERT IBM SPEECH TO TEXT USERNAME HERE" # IBM Speech to Text usernames are strings of the form XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
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# IBM_PASSWORD = "INSERT IBM SPEECH TO TEXT PASSWORD HERE" # IBM Speech to Text passwords are mixed-case alphanumeric strings
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# try:
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# print("IBM Speech to Text thinks you said " + r.recognize_ibm(audio, username=IBM_USERNAME, password=IBM_PASSWORD))
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# except sr.UnknownValueError:
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# print("IBM Speech to Text could not understand audio")
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# except sr.RequestError as e:
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# print("Could not request results from IBM Speech to Text service; {0}".format(e))
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