Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection

22 May 2020Danni LiuGerasimos SpanakisJan Niehues

Encoder-decoder models provide a generic architecture for sequence-to-sequence tasks such as speech recognition and translation. While offline systems are often evaluated on quality metrics like word error rates (WER) and BLEU, latency is also a crucial factor in many practical use-cases... (read more)

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