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PHONEME-BASED CONTEXTUALIZATION FOR CROSS-LINGUAL SPEECH RECOGNITION IN END-TO-END MODELS
PHONEME-BASED CONTEXTUALIZATION FOR CROSS-LINGUAL SPEECH RECOGNITION IN END-TO-END MODELS
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机译：基于语音的语境化在端到端模型中的跨语言语音识别
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摘要
A method includes receiving audio data encoding an utterance spoken by a native speaker of a first language, and receiving a biasing term list including one or more terms in a second language different than the first language. The method also includes processing, using a speech recognition model, acoustic features derived from the audio data to generate speech recognition scores for both wordpieces and corresponding phoneme sequences in the first language. The method also includes rescoring the speech recognition scores for the phoneme sequences based on the one or more terms in the biasing term list, and executing, using the speech recognition scores for the wordpieces and the rescored speech recognition scores for the phoneme sequences, a decoding graph to generate a transcription for the utterance.
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