Language-family prompt tuning and a BPE-token-extended tokenizer improve Whisper's WER and inference speed on eight Indian languages, with 250 added tokens per language as the best configuration.
An overview of indian spoken language recognition from machine learning perspective,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CL 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Enhancing Whisper's Accuracy and Speed for Indian Languages through Prompt-Tuning and Tokenization
Language-family prompt tuning and a BPE-token-extended tokenizer improve Whisper's WER and inference speed on eight Indian languages, with 250 added tokens per language as the best configuration.