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import numpy as np
import soundfile as sf
import sounddevice as sd
from datetime import datetime
from pathlib import Path
from typing import Tuple, Optional
def save_audio_file(
audio_data: np.ndarray, output_dir: Path, sample_rate: int = 24000
) -> Path:
"""
Save audio data to a WAV file with a timestamp in the filename.
Args:
audio_data (np.ndarray): The audio data to save. Can be a single array or a list of arrays.
output_dir (Path): The directory to save the audio file in.
sample_rate (int, optional): The sample rate of the audio data. Defaults to 24000.
Returns:
Path: The path to the saved audio file.
"""
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
output_path = output_dir / f"output_{timestamp}.wav"
if isinstance(audio_data, list):
audio_data = np.concatenate(audio_data)
sf.write(str(output_path), audio_data, sample_rate)
return output_path
def play_audio(
audio_data: np.ndarray, sample_rate: int = 24000
) -> Tuple[bool, Optional[np.ndarray]]:
"""
Play audio data using sounddevice.
Args:
audio_data (np.ndarray): The audio data to play.
sample_rate (int, optional): The sample rate of the audio data. Defaults to 24000.
Returns:
Tuple[bool, Optional[np.ndarray]]: A tuple containing a boolean indicating if the playback was interrupted (always False here) and an optional numpy array representing the interrupted audio (always None here).
"""
sd.play(audio_data, sample_rate)
sd.wait()
return False, None
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