---
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.