mirror of https://github.com/coqui-ai/TTS.git
f81892483d
* Rename Speaker encoder module to encoder * Add a generic emotion dataset formatter * Transform the Speaker Encoder dataset to a generic dataset and create emotion encoder config * Add class map in emotion config * Add Base encoder config * Add evaluation encoder script * Fix the bug in plot_embeddings * Enable Weight decay for encoder training * Add argumnet to disable storage * Add Perfect Sampler and remove storage * Add evaluation during encoder training * Fix lint checks * Remove useless config parameter * Active evaluation in speaker encoder test and use multispeaker dataset for this test * Unit tests fixs * Remove useless tests for speedup the aux_tests * Use get_optimizer in Encoder * Add BaseEncoder Class * Fix the unitests * Add Perfect Batch Sampler unit test * Add compute encoder accuracy in a function |
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| .. | ||
| __init__.py | ||
| collect_env_info.py | ||
| compute_attention_masks.py | ||
| compute_embeddings.py | ||
| compute_statistics.py | ||
| distribute.py | ||
| eval_encoder.py | ||
| extract_tts_spectrograms.py | ||
| find_unique_chars.py | ||
| find_unique_phonemes.py | ||
| remove_silence_using_vad.py | ||
| resample.py | ||
| synthesize.py | ||
| train_encoder.py | ||
| train_tts.py | ||
| train_vocoder.py | ||
| tune_wavegrad.py | ||