Spaces:
Build error
Build error
File size: 2,372 Bytes
e22e786 ae641cf 2d176f4 ae641cf 3ed3b5a 2d176f4 ae641cf |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
import logging
import os
import time
import numpy as np
import soundfile as sf
from typing import Optional, Generator, Tuple, List
from .tts_base import TTSBase
# Configure logging
logger = logging.getLogger(__name__)
class DummyTTS(TTSBase):
"""Dummy TTS engine that generates sine wave audio
This class is used as a fallback when no other TTS engine is available.
"""
def generate_speech(self, text: str, voice: str = 'default', speed: float = 1.0) -> str:
"""Generate a dummy sine wave audio file
Args:
text (str): Input text (not used)
voice (str): Voice ID (not used)
speed (float): Speech speed multiplier (not used)
Returns:
str: Path to the generated audio file
"""
logger.info(f"Generating dummy speech for text length: {len(text)}")
# Generate a simple sine wave
sample_rate = 24000
duration = min(len(text) / 20, 10) # Rough approximation of speech duration
t = np.linspace(0, duration, int(sample_rate * duration), endpoint=False)
audio = 0.5 * np.sin(2 * np.pi * 440 * t) # 440 Hz sine wave
# Save to file
output_path = self._generate_output_path(prefix="dummy")
sf.write(output_path, audio, sample_rate)
logger.info(f"Generated dummy audio: {output_path}")
return output_path
def generate_speech_stream(self, text: str, voice: str = 'default', speed: float = 1.0) -> Generator[Tuple[int, np.ndarray], None, None]:
"""Generate a dummy sine wave audio stream
Args:
text (str): Input text (not used)
voice (str): Voice ID (not used)
speed (float): Speech speed multiplier (not used)
Yields:
tuple: (sample_rate, audio_data) pairs
"""
logger.info(f"Generating dummy speech stream for text length: {len(text)}")
# Generate a simple sine wave
sample_rate = 24000
duration = min(len(text) / 20, 10) # Rough approximation of speech duration
t = np.linspace(0, duration, int(sample_rate * duration), endpoint=False)
audio = 0.5 * np.sin(2 * np.pi * 440 * t) # 440 Hz sine wave
# Yield the audio data
yield sample_rate, audio |