WhisperRT converts Whisper to a causal streaming ASR model via encoder causality, decoder synchronization on partial states, and fine-tuning, achieving better performance than non-fine-tuned streaming methods on sub-300ms chunks with lower complexity.
Transformer-transducer: End-to-end speech recognition with self-attention
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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InterAligner adds progressive intermediate alignment objectives plus InterCTC to Aligner-Encoder ASR, cutting WER from 5.0/7.8 to 3.1/5.6 on LibriSpeech test-clean/other with largest gains on long utterances.
citing papers explorer
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WhisperRT -- Turning Whisper into a Causal Streaming Model
WhisperRT converts Whisper to a causal streaming ASR model via encoder causality, decoder synchronization on partial states, and fine-tuning, achieving better performance than non-fine-tuned streaming methods on sub-300ms chunks with lower complexity.
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Progressive Alignment Objectives for Aligner-Encoder based ASR
InterAligner adds progressive intermediate alignment objectives plus InterCTC to Aligner-Encoder ASR, cutting WER from 5.0/7.8 to 3.1/5.6 on LibriSpeech test-clean/other with largest gains on long utterances.