ship-controller/speech_to_text.py
2025-06-30 03:40:36 +02:00

201 lines
6.6 KiB
Python

"""
Speech-to-Text module for MIDI-to-Hue application.
Handles audio recording and cloud-based speech recognition.
"""
import os
import time
import threading
import requests
import io
import wave
import pyaudio
import numpy as np
from typing import Optional, Dict, Any, Callable
class SpeechToText:
"""Manages audio recording and speech-to-text processing."""
def __init__(self, config: Dict[str, Any]):
"""
Initialize the Speech-to-Text controller.
Args:
config: Configuration dictionary with STT settings
"""
self.config = config
self.recording = False
self.stream = None
self.frames = []
self.p = None
self.recording_thread = None
self.callback = None
# Audio settings from config or defaults
self.format = pyaudio.paInt16
self.channels = 1
self.rate = 16000
self.chunk = 4096
self.device_index = config.get("audio_device_index", 1)
self.language = config.get("language", "de")
self.api_key = config.get("api_key", "")
self.api_endpoint = config.get("api_endpoint", "https://api.openai.com/v1/audio/transcriptions")
def initialize(self) -> bool:
"""Initialize PyAudio and check if the device is available."""
try:
self.p = pyaudio.PyAudio()
device_count = self.p.get_device_count()
if self.device_index >= device_count:
print(f"Error: Audio device index {self.device_index} out of range.")
print(f"Available devices: {device_count}")
return False
# Get device info to display
device_info = self.p.get_device_info_by_index(self.device_index)
print(f"Using audio device: {device_info['name']}")
return True
except Exception as e:
print(f"Error initializing audio: {e}")
return False
def set_callback(self, callback: Callable[[str], None]) -> None:
"""Set callback function to receive transcription results."""
self.callback = callback
def start_recording(self) -> bool:
"""Start recording audio when MIDI button is pressed."""
if self.recording:
return False # Already recording
try:
print("Starting audio recording...")
self.recording = True
self.frames = []
# Open audio stream
self.stream = self.p.open(
format=self.format,
channels=self.channels,
rate=self.rate,
input=True,
input_device_index=self.device_index,
frames_per_buffer=self.chunk
)
# Start recording thread
self.recording_thread = threading.Thread(target=self._record_audio)
self.recording_thread.daemon = True
self.recording_thread.start()
return True
except Exception as e:
print(f"Error starting recording: {e}")
self.recording = False
return False
def _record_audio(self) -> None:
"""Record audio in a separate thread while recording flag is True."""
try:
while self.recording:
data = self.stream.read(self.chunk, exception_on_overflow=False)
self.frames.append(data)
except Exception as e:
print(f"Error during recording: {e}")
self.recording = False
def stop_recording(self) -> None:
"""Stop recording and process the audio."""
if not self.recording:
return # Not recording
print("Stopping recording and processing audio...")
self.recording = False
# Wait for recording thread to finish
if self.recording_thread:
self.recording_thread.join(timeout=1.0)
# Close the stream
if self.stream:
self.stream.stop_stream()
self.stream.close()
self.stream = None
# Process the recorded audio
if self.frames:
threading.Thread(target=self._process_audio).start()
def _process_audio(self) -> None:
"""Process recorded audio and send to the cloud STT service."""
try:
if not self.frames:
print("No audio frames recorded.")
return
# Prepare WAV file in memory
wav_buffer = io.BytesIO()
with wave.open(wav_buffer, 'wb') as wf:
wf.setnchannels(self.channels)
wf.setsampwidth(self.p.get_sample_size(self.format))
wf.setframerate(self.rate)
wf.writeframes(b''.join(self.frames))
# Reset buffer position
wav_buffer.seek(0)
# Check if we have API key
if not self.api_key:
print("Error: No API key provided for STT service.")
return
# Send to API
headers = {"Authorization": f"Bearer {self.api_key}"}
files = {
"file": ("audio.wav", wav_buffer, "audio/wav")
}
data = {
"model": "whisper-1",
"language": self.language
}
print("Sending audio to STT service...")
response = requests.post(
self.api_endpoint,
headers=headers,
files=files,
data=data
)
if response.status_code == 200:
result = response.json()
text = result.get("text", "")
print(f"Recognized: {text}")
# Call callback with result if provided
if self.callback and text:
self.callback(text)
else:
print(f"Error: {response.status_code}, {response.text}")
except Exception as e:
print(f"Error processing audio: {e}")
def cleanup(self) -> None:
"""Clean up resources."""
if self.recording:
self.recording = False
if self.stream:
self.stream.stop_stream()
self.stream.close()
if self.p:
self.p.terminate()