I have generated a .wav audio file containing some speech with some other interference speech in the background. This code worked for me for a test .wav file:
import speech_recognition as sr
r = sr.Recognizer()
with sr.WavFile(wav_path) as source:
audio = r.record(source)
text = r.recognize_google(audio)
If I use my .wav file, I get the following error:
ValueError: Audio file could not be read as PCM WAV, AIFF/AIFF-C, or Native FLAC; check if file is corrupted or in another format
The situation slightly improves if I save this .wav file with soundfile:
import soundfile as sf
wav, samplerate = sf.read(wav_path)
sf.write(saved_wav_path, original_wav, fs)
and then load the new saved_wav_path back into the first block of code, this time I get:
if not isinstance(actual_result, dict) or len(actual_result.get("alternative", [])) == 0: raise UnknownValueError()
The audio files were saved as
wavfile.write(wav_path, fs, data)
where wav_path = 'data.wav'. Any ideas?
SOLUTION:
Saving the audio data the following way generates the correct .wav files:
import wavio
wavio.write(wav_path, data, fs ,sampwidth=2)
From a brief look at the code in the speech_recognition
package, it appears that it uses wave
from the Python standard library to read WAV files. Python's wave
library does not handle floating point WAV files, so you'll have to ensure that you use speech_recognition
with files that were saved in an integer format.
SciPy's function scipy.io.wavfile.write
will create an integer file if you pass it an array of integers. So if data
is a floating point numpy array, you could try this:
from scipy.io import wavfile
# Convert `data` to 32 bit integers:
y = (np.iinfo(np.int32).max * (data/np.abs(data).max())).astype(np.int32)
wavfile.write(wav_path, fs, y)
Then try to read that file with speech_recognition
.
Alternatively, you could use wavio
(a small library that I created) to save your data to a WAV file. It also uses Python's wave
library to create its output, so speech_recognition
should be able to read the files that it creates.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With