End-to-End ASR-free Keyword Search from Speech.
IEEE Journal of Selected Topics in Signal Processing(2017)
摘要
Conventional keyword search (KWS) systems for speech databases match the input text query to the set of word hypotheses generated by an automatic speech recognition (ASR) system from utterances in the database. Hence, such KWS systems attempt to solve the complex problem of ASR as a precursor. Training an ASR system itself is a time-consuming process requiring transcribed speech data. Our prior wo...
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关键词
Neural networks,Automatic speech recognition,Training,Hidden Markov models,Speech processing,Recurrent neural networks,Keyword search
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