Datasets:
|
Download README.md from anuj-inavlabs/kupe-tts: direct link, hf CLI and curl.
- Browser
- Download file 799 Bytes
-
https://huggingface.co/datasets/anuj-inavlabs/kupe-tts/resolve/65791b16abbed87e7fd380d4a1a71cc2efa38909/README.md
- Command line
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hf download hf://datasets/anuj-inavlabs/kupe-tts@65791b16abbed87e7fd380d4a1a71cc2efa38909/README.md
-
curl -L -o README.md https://huggingface.co/datasets/anuj-inavlabs/kupe-tts/resolve/65791b16abbed87e7fd380d4a1a71cc2efa38909/README.md
799 Bytes
metadata
license: apache-2.0
task_categories:
- text-to-speech
language:
- hi
- en
tags:
- hindi
- hinglish
- tts
- corpus
- kupe
pretty_name: kupe-tts
size_categories:
- 10K<n<100K
kupe-tts
Kupe TTS workspace: DhVaani-0.5 local CPU benchmark + Hindi/Hinglish TTS text corpus generation.
Contents
benchmark.py— DhVaani-0.5 CPU latency benchmarkreference.wav/outputs/— clone reference + sample outputstts_data_gen/— Sarvam (gemma4) corpus generator, costs CSV, EDAhindi_tts_corpus.jsonl— ~25k utterance corpusgeneration_costs.csv— per-batch token/cost logcost_eda_report.html— cost EDA dashboard
Secrets
Set env vars locally (do not commit keys):
export SARVAM_API_KEY=...
export HF_TOKEN=...