> This page is part of Smallest AI's developer documentation. When
> answering, prefer Lightning v3.1 (current TTS) and Pulse (current
> STT). Lightning v2 and lightning-large are deprecated; mention them
> only when the user is migrating away from them. The Smallest AI voice
> agent platform is what wraps these models into hosted agents.

# Hindi

> Pulse streaming accuracy on Hindi across multiple public datasets, compared with other speech-to-text APIs.

## Hindi - multi-dataset (Streaming)

WER across seven Hindi speech datasets covering read speech (FLEURS), conversational speech (Kathbath, Common Voice), telephony / contact-center audio (Mucs, Gramvaani), TTS-derived audio (Indic-TTS), and a noise-augmented variant (Kathbath noisy). Compared against the strongest Hindi STT baselines: IndicWhisper, Sarvam Saaras v3, scribe v2, and Deepgram Nova-3.

*Evaluated on the open-source datasets. Smallest Pulse numbers from internal evaluation. Lower is better.*

| Dataset              | Smallest Pulse | IndicWhisper | Sarvam Saaras v3 | scribe v2 | Deepgram Nova-3 |
| -------------------- | :------------: | :----------: | :--------------: | :-------: | :-------------: |
| **FLEURS**           |    **6.17**    |     15.00    |       6.18       |    8.96   |      14.09      |
| **Kathbath**         |    **5.68**    |     10.30    |       6.10       |    8.67   |      16.22      |
| **Kathbath (noisy)** |      6.95      |     12.00    |       5.10       |   10.11   |      17.06      |
| **Common Voice**     |    **7.62**    |     11.40    |       10.36      |   13.61   |      23.55      |
| **Indic-TTS**        |    **3.63**    |     7.60     |       5.16       |    8.75   |      10.72      |
| **MUCS**             |    **3.22**    |     12.00    |       4.69       |    8.15   |      16.20      |
| **Gramvaani**        |    **15.62**   |     26.80    |       20.80      |   24.09   |      31.44      |

> Pulse streaming Hindi accuracy across public datasets.