An overview of noise-robust automatic speech recognition
New waves of consumer-centric applications, such as voice search and voice interaction
with mobile devices and home entertainment systems, increasingly require automatic …
with mobile devices and home entertainment systems, increasingly require automatic …
Machine learning paradigms for speech recognition: An overview
L Deng, X Li - IEEE Transactions on Audio, Speech, and …, 2013 - ieeexplore.ieee.org
Automatic Speech Recognition (ASR) has historically been a driving force behind many
machine learning (ML) techniques, including the ubiquitously used hidden Markov model …
machine learning (ML) techniques, including the ubiquitously used hidden Markov model …
Librispeech: an asr corpus based on public domain audio books
This paper introduces a new corpus of read English speech, suitable for training and
evaluating speech recognition systems. The LibriSpeech corpus is derived from audiobooks …
evaluating speech recognition systems. The LibriSpeech corpus is derived from audiobooks …
Statistical parametric speech synthesis
This review gives a general overview of techniques used in statistical parametric speech
synthesis. One instance of these techniques, called hidden Markov model (HMM)-based …
synthesis. One instance of these techniques, called hidden Markov model (HMM)-based …
[图书][B] Spoken language processing: A guide to theory, algorithm, and system development
Spoken Language Processing | Guide books skip to main content ACM Digital Library home
ACM home Google, Inc. (search) Advanced Search Browse About Sign in Register …
ACM home Google, Inc. (search) Advanced Search Browse About Sign in Register …
Learning spectral mapping for speech dereverberation and denoising
In real-world environments, human speech is usually distorted by both reverberation and
background noise, which have negative effects on speech intelligibility and speech quality …
background noise, which have negative effects on speech intelligibility and speech quality …
Maximum likelihood linear transformations for HMM-based speech recognition
MJF Gales - Computer speech & language, 1998 - Elsevier
This paper examines the application of linear transformations for speaker and environmental
adaptation in an HMM-based speech recognition system. In particular, transformations that …
adaptation in an HMM-based speech recognition system. In particular, transformations that …
The application of hidden Markov models in speech recognition
The Application of Hidden Markov Models in Speech Recognition Page 1 The Application of
Hidden Markov Models in Speech Recognition Full text available at: http://dx.doi.org/10.1561/2000000004 …
Hidden Markov Models in Speech Recognition Full text available at: http://dx.doi.org/10.1561/2000000004 …
Speech synthesis based on hidden Markov models
This paper gives a general overview of hidden Markov model (HMM)-based speech
synthesis, which has recently been demonstrated to be very effective in synthesizing …
synthesis, which has recently been demonstrated to be very effective in synthesizing …
Adaptation algorithms for neural network-based speech recognition: An overview
We present a structured overview of adaptation algorithms for neural network-based speech
recognition, considering both hybrid hidden Markov model/neural network systems and end …
recognition, considering both hybrid hidden Markov model/neural network systems and end …