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BaltiVoice: A Speech Corpus and Fine-tuned Whisper ASR System for the Balti Language

arxiv.org/abs/2606.03504

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Updated 4 h ago · first seen 11 Sept 2026

paper_01M294GQ47D8WHNB2WW19Y1Z24

Published
11 Sept 2026
T1 · 4 h ago
arXiv
2606.03504
T1 · 4 h ago
Category
cs.CL
T1 · 4 h ago

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https://arxiv.org/abs/2606.03504currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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-cross Abstract: We present BaltiVoice, a 16.8-hour read-speech corpus for Balti (ISO 639-3: bft), a Tibetic language spoken in Gilgit-Baltistan, Pakistan, with no prior publicly available ASR resources. The corpus contains 10,060 validated utterances in native Nastaliq script, derived from Mozilla Common Voice recordings. Fine-tuning OpenAI Whisper-small yields a Word Error Rate (WER) of 24.78% and a Character Error Rate (CER) of 8.30% after training for 5 epochs (3,000 steps) on the 538-utterance speaker-disjoint validation set, down from a zero-shot baseline of 159.19% WER and 152.52% CER. A Whisper-base fine-tuned on the same data achieves 44.54% WER and 15.61% CER, confirming that model capacity matters for this low-resource setting. The dataset, fine-tuned model, and a live transcription demo are publicly available on HuggingFace.currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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replacecurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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2606.03504currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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Muhammad AlicurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.CL, cs.AIcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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https://arxiv.org/pdf/2606.03504currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.CLcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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11 Sept 2026currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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