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run_azure_recognizer.py
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run_azure_recognizer.py
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import os
import azure.cognitiveservices.speech as speechsdk
import json
from pydub import AudioSegment
from tqdm import tqdm
tmp_wav_filename = "tmp.wav"
def recognize(filename):
# This example requires environment variables named "SPEECH_KEY" and "SPEECH_REGION"
speech_config = speechsdk.SpeechConfig(subscription=os.environ.get('SPEECH_KEY'), region=os.environ.get('SPEECH_REGION'))
speech_config.speech_recognition_language="zh-HK"
speech_config.output_format = speechsdk.OutputFormat.Detailed
speech_config.set_profanity(speechsdk.ProfanityOption.Raw)
if filename.endswith(".mp3"):
audio = AudioSegment.from_mp3(filename)
audio.export(tmp_wav_filename, format="wav")
audio_config = speechsdk.audio.AudioConfig(filename=tmp_wav_filename)
else:
assert(filename.endswith(".wav"))
audio_config = speechsdk.audio.AudioConfig(filename=filename)
speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config)
speech_recognition_result = speech_recognizer.recognize_once()
os.remove(tmp_wav_filename)
if speech_recognition_result.reason == speechsdk.ResultReason.RecognizedSpeech:
return json.loads(speech_recognition_result.json)
elif speech_recognition_result.reason == speechsdk.ResultReason.NoMatch:
print("No speech could be recognized: {}".format(speech_recognition_result.no_match_details))
elif speech_recognition_result.reason == speechsdk.ResultReason.Canceled:
cancellation_details = speech_recognition_result.cancellation_details
print("Speech Recognition canceled: {}".format(cancellation_details.reason))
if cancellation_details.reason == speechsdk.CancellationReason.Error:
print("Error details: {}".format(cancellation_details.error_details))
print("Did you set the speech resource key and region values?")
import pandas as pd
from pathlib import Path
dataset_name = "common-voice-11-zh-hk"
dataset_path = Path("data")/dataset_name
metadata = pd.read_csv(dataset_path/"test.tsv", sep="\t")
results = []
for _, row in tqdm(list(metadata.iterrows())):
result = recognize((dataset_path/"test"/row["path"]).as_posix())
if result is not None:
results.append({ "path": row["path"], "sentence": row["sentence"], "result": result })
with open(dataset_name + "-transcriptions.json", "w+") as output_file:
json.dump(results, output_file, ensure_ascii=False)