Denoised Bottleneck Features From Deep Autoencoders for Telephone Conversation Analysis.

IEEE/ACM Transactions on Audio, Speech, and Language Processing(2017)

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摘要
Automatic transcription of spoken documents is affected by automatic transcription errors that are especially frequent when speech is acquired in severe noisy conditions. Automatic speech recognition errors induce errors in the linguistic features used for a variety of natural language processing tasks. Recently, denoisng autoencoders (DAE) and stacked autoencoders (SAE) have been proposed with in...
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关键词
Feature extraction,Speech,Semantics,Manuals,Noise reduction,Noise measurement,Speech processing
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