Update speech_processor.py
parent
878411e55b
commit
1015c8a2fa
|
@ -4,8 +4,9 @@ import sys
|
|||
import json
|
||||
import tempfile
|
||||
import os
|
||||
import wave
|
||||
import soundfile as sf
|
||||
import numpy as np
|
||||
import struct
|
||||
|
||||
# Global model - load once
|
||||
model = None
|
||||
|
@ -15,9 +16,9 @@ def initialize_vosk():
|
|||
"""Initialize Vosk model"""
|
||||
global model, recognizer
|
||||
|
||||
model_path = "/app/vosk-model"
|
||||
model_path = "/app/vosk-model" # Update this path to your model location
|
||||
if not os.path.exists(model_path):
|
||||
return {"success": False, "error": "Vosk model not found at /app/vosk-model"}
|
||||
return {"success": False, "error": f"Vosk model not found at {model_path}"}
|
||||
|
||||
try:
|
||||
vosk.SetLogLevel(-1) # Reduce log verbosity
|
||||
|
@ -27,14 +28,14 @@ def initialize_vosk():
|
|||
except Exception as e:
|
||||
return {"success": False, "error": f"Failed to initialize Vosk: {str(e)}"}
|
||||
|
||||
def process_audio_chunk(audio_data):
|
||||
def process_audio_chunk(audio_data, request_id):
|
||||
"""Process audio data and return transcription"""
|
||||
global recognizer
|
||||
|
||||
if not recognizer:
|
||||
init_result = initialize_vosk()
|
||||
if not init_result["success"]:
|
||||
return init_result
|
||||
return {**init_result, "requestId": request_id}
|
||||
|
||||
try:
|
||||
# Write audio data to temporary file
|
||||
|
@ -44,77 +45,107 @@ def process_audio_chunk(audio_data):
|
|||
|
||||
# Read audio file with soundfile
|
||||
try:
|
||||
audio_data, sample_rate = sf.read(temp_filename)
|
||||
audio_data, sample_rate = sf.read(temp_filename, dtype='float32')
|
||||
|
||||
# Convert to 16-bit PCM at 16kHz if needed
|
||||
# Convert to 16kHz if needed
|
||||
if sample_rate != 16000:
|
||||
# Simple resampling (for better quality, use librosa)
|
||||
import numpy as np
|
||||
# Simple resampling (for production, use proper resampling)
|
||||
num_samples = int(len(audio_data) * 16000 / sample_rate)
|
||||
audio_data = np.interp(
|
||||
np.linspace(0, len(audio_data), int(len(audio_data) * 16000 / sample_rate)),
|
||||
np.linspace(0, len(audio_data)-1, num_samples),
|
||||
np.arange(len(audio_data)),
|
||||
audio_data
|
||||
)
|
||||
sample_rate = 16000
|
||||
|
||||
# Convert to bytes
|
||||
audio_bytes = (audio_data * 32767).astype('int16').tobytes()
|
||||
# Convert to 16-bit PCM
|
||||
audio_data = (audio_data * 32767).astype('int16')
|
||||
|
||||
# Process with Vosk
|
||||
if recognizer.AcceptWaveform(audio_bytes):
|
||||
if recognizer.AcceptWaveform(audio_data.tobytes()):
|
||||
result = json.loads(recognizer.Result())
|
||||
text = result.get('text', '')
|
||||
is_final = True
|
||||
else:
|
||||
result = json.loads(recognizer.PartialResult())
|
||||
text = result.get('partial', '')
|
||||
is_final = False
|
||||
|
||||
# Clean up
|
||||
os.unlink(temp_filename)
|
||||
|
||||
return {"success": True, "text": text}
|
||||
return {
|
||||
"success": True,
|
||||
"text": text,
|
||||
"is_final": is_final,
|
||||
"requestId": request_id
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
os.unlink(temp_filename)
|
||||
return {"success": False, "error": f"Audio processing error: {str(e)}"}
|
||||
return {
|
||||
"success": False,
|
||||
"error": f"Audio processing error: {str(e)}",
|
||||
"requestId": request_id
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
return {"success": False, "error": f"General error: {str(e)}"}
|
||||
return {
|
||||
"success": False,
|
||||
"error": f"General error: {str(e)}",
|
||||
"requestId": request_id
|
||||
}
|
||||
|
||||
def main():
|
||||
"""Main loop to process audio chunks from stdin"""
|
||||
# Initialize Vosk on startup
|
||||
init_result = initialize_vosk()
|
||||
if not init_result["success"]:
|
||||
error_response = json.dumps(init_result).encode('utf-8')
|
||||
sys.stdout.buffer.write(len(error_response).to_bytes(4, byteorder='big'))
|
||||
error_response = json.dumps({
|
||||
**init_result,
|
||||
"requestId": 0
|
||||
}).encode('utf-8')
|
||||
sys.stdout.buffer.write(struct.pack('>I', len(error_response)))
|
||||
sys.stdout.buffer.write(error_response)
|
||||
sys.stdout.buffer.flush()
|
||||
sys.exit(1)
|
||||
|
||||
while True:
|
||||
try:
|
||||
# Read length of incoming data
|
||||
# Read length of incoming data (4 bytes)
|
||||
length_data = sys.stdin.buffer.read(4)
|
||||
if not length_data:
|
||||
break
|
||||
length = struct.unpack('>I', length_data)[0]
|
||||
|
||||
length = int.from_bytes(length_data, byteorder='big')
|
||||
# Read request ID (4 bytes)
|
||||
id_data = sys.stdin.buffer.read(4)
|
||||
if not id_data:
|
||||
break
|
||||
request_id = struct.unpack('>I', id_data)[0]
|
||||
|
||||
# Read audio data
|
||||
audio_data = sys.stdin.buffer.read(length)
|
||||
if len(audio_data) != length:
|
||||
break
|
||||
|
||||
# Process audio
|
||||
result = process_audio_chunk(audio_data)
|
||||
result = process_audio_chunk(audio_data, request_id)
|
||||
|
||||
# Send result back
|
||||
response = json.dumps(result).encode('utf-8')
|
||||
sys.stdout.buffer.write(len(response).to_bytes(4, byteorder='big'))
|
||||
sys.stdout.buffer.write(struct.pack('>I', len(response)))
|
||||
sys.stdout.buffer.write(response)
|
||||
sys.stdout.buffer.flush()
|
||||
|
||||
except Exception as e:
|
||||
error_result = {"success": False, "error": str(e)}
|
||||
error_result = {
|
||||
"success": False,
|
||||
"error": str(e),
|
||||
"requestId": request_id if 'request_id' in locals() else 0
|
||||
}
|
||||
response = json.dumps(error_result).encode('utf-8')
|
||||
sys.stdout.buffer.write(len(response).to_bytes(4, byteorder='big'))
|
||||
sys.stdout.buffer.write(struct.pack('>I', len(response)))
|
||||
sys.stdout.buffer.write(response)
|
||||
sys.stdout.buffer.flush()
|
||||
|
||||
|
|
Loading…
Reference in New Issue