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Formatting and spelling fixes.

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This commit is contained in:
davabase 2023-10-03 11:21:17 -07:00
parent a0b5bdbb0a
commit f213b229b8
1 changed files with 13 additions and 13 deletions
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10
transcribe_demo.py
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@ -33,16 +33,16 @@ def main():
"Run this with 'list' to view available Microphones.", type=str) "Run this with 'list' to view available Microphones.", type=str)
args = parser.parse_args() args = parser.parse_args()
# The last time a recording was retreived from the queue. # The last time a recording was retrieved from the queue.
phrase_time = None phrase_time = None
# Current raw audio bytes. # Current raw audio bytes.
last_sample = bytes() last_sample = bytes()
# Thread safe Queue for passing data from the threaded recording callback. # Thread safe Queue for passing data from the threaded recording callback.
data_queue = Queue() data_queue = Queue()
# We use SpeechRecognizer to record our audio because it has a nice feauture where it can detect when speech ends. # We use SpeechRecognizer to record our audio because it has a nice feature where it can detect when speech ends.
recorder = sr.Recognizer() recorder = sr.Recognizer()
recorder.energy_threshold = args.energy_threshold recorder.energy_threshold = args.energy_threshold
# Definitely do this, dynamic energy compensation lowers the energy threshold dramtically to a point where the SpeechRecognizer never stops recording. # Definitely do this, dynamic energy compensation lowers the energy threshold dramatically to a point where the SpeechRecognizer never stops recording.
recorder.dynamic_energy_threshold = False recorder.dynamic_energy_threshold = False
# Important for linux users. # Important for linux users.
@ -79,7 +79,7 @@ def main():
def record_callback(_, audio:sr.AudioData) -> None: def record_callback(_, audio:sr.AudioData) -> None:
""" """
Threaded callback function to recieve audio data when recordings finish. Threaded callback function to receive audio data when recordings finish.
audio: An AudioData containing the recorded bytes. audio: An AudioData containing the recorded bytes.
""" """
# Grab the raw bytes and push it into the thread safe queue. # Grab the raw bytes and push it into the thread safe queue.
@ -124,7 +124,7 @@ def main():
result = audio_model.transcribe(temp_file, fp16=torch.cuda.is_available()) result = audio_model.transcribe(temp_file, fp16=torch.cuda.is_available())
text = result['text'].strip() text = result['text'].strip()
# If we detected a pause between recordings, add a new item to our transcripion. # If we detected a pause between recordings, add a new item to our transcription.
# Otherwise edit the existing one. # Otherwise edit the existing one.
if phrase_complete: if phrase_complete:
transcription.append(text) transcription.append(text)