KalaTTS

--- license: cc-by-sa-4.0 language: - ne tags: - text-to-speech - nepali - vits - piper - multi-speaker - punctuation library_name: piper-tts pipeline_tag: text-to-speech --- # Real Nepali v0.4 Model artifact repository for the `real_nepali_v0.4` Piper/VITS checkpoint. This is an experimental punctuation-aware continuation of `ampixa/real-nepali-v0.2-kala`. It keeps the same six-speaker map and clear Nepali frontend direction, but adds explicit punctuation tokens to the model input: ```text <period> <question> <exclaim> <comma> ``` Expected files: ```text checkpoint.ckpt config.json speaker_id_map.json ``` Training run: ```text real_nepali_v0.3_punct_4h_replay/run_epoch999_punct4h_lr2em6_prosodyfreeze_bs96sps16_1000 epoch=999-step=67200.ckpt ``` The remote path contains `v0.3` because that is the internal punctuation-token frontend profile name. The release/evaluation label for this checkpoint is v0.4. Checkpoint SHA-256: ```text 46ba2bf465eecceff345b7f118353d7b498dfcb5eb283e3556ba9ea260dcdff9 ``` Training mix: | Source | Rows | Duration | |---|---:|---:| | v0.2 six-speaker replay set | 4,338 | 8.61 h | | Algenib punctuation/intent synthetic batch | 1,470 | 2.99 h | | Total | 5,808 | 11.60 h | Speaker IDs: ```json { "algenib": 0, "barsha": 1, "kala": 2, "slr143_F": 3, "slr43_0546": 4, "slr43_2099": 5 } ``` Important caveat: this checkpoint should be judged by listening. It was trained to test whether punctuation tokens improve prosody without repeating the quality loss seen in the earlier tiny synthetic-only v0.3 repair run. Use the punctuation review samples before treating it as the production/default model.