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 | ||
| generic_utils.py | ||
| io.py | ||
| prepare_voxceleb.py | ||
| samplers.py | ||
| training.py | ||
| visual.py | ||