mirror of
https://github.com/denizsafak/abogen.git
synced 2026-07-18 13:40:27 +02:00
Artem Akymenko
66ed2a202d
Moved SupertonicPipeline from abogen/tts_supertonic.py to abogen/tts_backends/supertonic.py and load_numpy_kpipeline from abogen/utils.py to abogen/tts_backends/kokoro.py. Git correctly detects the Supertonic file as a rename (R), preserving full commit history. - New package: abogen/tts_backends/ - __init__.py (package marker) - supertonic.py (SupertonicPipeline, moved from tts_supertonic.py) - kokoro.py (load_numpy_kpipeline, moved from utils.py) - abogen/utils.py: re-exports load_numpy_kpipeline for backward compat - All imports updated to new canonical paths
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
import numpy as np
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from abogen.tts_backends.supertonic import SupertonicPipeline
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class _DummyTTS:
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def get_voice_style(self, voice_name: str):
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return {"voice": voice_name}
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def synthesize(
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self,
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*,
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text: str,
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voice_style,
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total_steps: int,
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speed: float,
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max_chunk_length: int,
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silence_duration: float,
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verbose: bool,
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):
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if "•" in text:
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raise ValueError("Found 1 unsupported character(s): ['•']")
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# Return 50ms of audio at 24kHz.
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sr = 24000
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audio = np.zeros(int(0.05 * sr), dtype="float32")
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return audio, 0.05
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def test_supertonic_pipeline_strips_unsupported_characters_and_retries():
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# Avoid importing/initializing real supertonic by manually constructing the pipeline.
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pipeline = SupertonicPipeline.__new__(SupertonicPipeline)
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pipeline.sample_rate = 24000
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pipeline.total_steps = 5
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pipeline.max_chunk_length = 1000
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pipeline._tts = _DummyTTS()
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segs = list(pipeline("Hello • world", voice="M1", speed=1.0))
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assert len(segs) == 1
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assert segs[0].graphemes == "Hello world" or segs[0].graphemes == "Hello world"
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assert isinstance(segs[0].audio, np.ndarray)
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assert segs[0].audio.dtype == np.float32
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assert segs[0].audio.size > 0
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def test_supertonic_pipeline_drops_chunk_if_only_unsupported_characters():
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pipeline = SupertonicPipeline.__new__(SupertonicPipeline)
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pipeline.sample_rate = 24000
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pipeline.total_steps = 5
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pipeline.max_chunk_length = 1000
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pipeline._tts = _DummyTTS()
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segs = list(pipeline("•", voice="M1", speed=1.0))
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assert segs == []
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