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I keep getting this error InvalidArgument: 400 in google Speech-to-text, and the problem seems to be that I an using a 2 channel audio(Stereo), and the API is waiting for a wav in (Mono).

If I convert the file in a audio editor it might work, but I cannot use an audio editor to convert a batch of files. Is there a way to change the Audio type in either Python or Google Cloud.

Note: I already tried with the "wave module" but I kept getting an error #7 for file type not recognize(I couldn't read the wav file with the module wave from Python)

-ERROR- InvalidArgument: 400 Must use single channel (mono) audio, but WAV header indicates 2 channels.

LundinCast
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Jose silvestre Rodriguez Ortiz
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2 Answers2

13

Assuming you're using the google-cloud-speech library, you could use the audio_channel_count property in your recognitionConfig and specify the number of channels in the input audio data (it defaults to one channel(mono)). You could do something like this:

from google.cloud import speech
client = speech.SpeechClient()
results = client.recognize(
    audio=speech.types.RecognitionAudio(
        uri='gs://your-bucket/recording.wav',
    ),
    config=speech.types.RecognitionConfig(
        encoding='LINEAR16',
        language_code='en-US',
        sample_rate_hertz=44100,
        audio_channel_count=2,
    ),
)

See the API doc for further info.

LundinCast
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    I already tried that and I get this error. "InvalidArgument: 400 Invalid recognition 'config': bad channel count." – Jose silvestre Rodriguez Ortiz Mar 12 '19 at 12:50
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    config = speech.types.RecognitionConfig( encoding=speech.enums.RecognitionConfig.AudioEncoding.MULAW, sample_rate_hertz=8000, language_code=first_lang, alternative_language_codes=[second_lang], enable_speaker_diarization=True, audio_channel_count=2, diarization_speaker_count=2, enable_separate_recognition_per_channel=True, enable_word_time_offsets=True, max_alternatives=2) – Jose silvestre Rodriguez Ortiz Mar 12 '19 at 12:52
2

You should use the below function to dynamically return Audio Chanel & frame_rate it takes the audio file path and returns frame rate and number of Chanel

def frame_rate_channel(audio_file_name): print(audio_file_name) with wave.open(audio_file_name, "rb") as wave_file: frame_rate = wave_file.getframerate() channels = wave_file.getnchannels() return frame_rate,channels

syed irfan
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