This repository holds intermediate training checkpoints, logs and metrics of the Mini TTS v1 research pilot: a small multilingual Matcha-style acoustic model (MAS + OT-CFM, 9M and 26M parameters) for Indian languages and English. The checkpoints are experimental, may be deleted or overwritten at any time, and are not intended for use. There is no quality claim and no support. - Rasa (AI4Bharat), https://huggingface.co/datasets/ai4bharat/Rasa, licensed CC-BY-4.0. Changes: the audio was resampled from 48 kHz to 24 kHz, emotional styles were filtered out, and each voice was capped (pilot: 8 h per voice). The derived dataset is sulabhkatiyar/indic-tts-mini-24k. - IndicTTS-English (pilot only…
Independent publisher
Sulabh Katiyar
sulabhkatiyar
Natural Language Processing, Computer Vision
Models in Library1
Datasets in Library1
Models on Hugging Face26
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Published tasks: Speech recognition, Text to speech.
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Models
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Append-only teacher-output cache used to distill a ternary Hindi ASR student. It stores, per audio clip, ONLY: - rowid (a deterministic source-shard/position pointer), - top-k (k=64) CTC logits (vocab id + log-prob per kept entry, blank always kept), - selected encoder hidden states (last-3 blocks: layers 14 / 15 / 16), fp16. No audio and no ground-truth transcripts are stored or redistributed. - Source corpora (audio & transcripts NOT redistributed here; used only to compute teacher outputs): - ai4bharat/Kathbath (hindi) — CC-BY-4.0. - ai4bharat/Shrutilipi (hindi) — CC-BY-4.0. CC-BY-4.0. Redistributing the derived teacher outputs (logits + hidden states + ids) is not redistribution of the…