[图书][B] Speech recognition over digital channels: Robustness and Standards

A Peinado, J Segura - 2006 - books.google.com
Automatic speech recognition (ASR) is a very attractive means for human-machine
interaction. The degree of maturity reached by speech recognition technologies during …

Automatic speech recognition over error-prone wireless networks

ZH Tan, P Dalsgaard, B Lindberg - Speech Communication, 2005 - Elsevier
The past decade has witnessed a growing interest in deploying automatic speech
recognition (ASR) in communication networks. The networks such as wireless networks …

Performance analysis of several pitch detection algorithms on simulated and real noisy speech data

D Jouvet, Y Laprie - 2017 25th european signal processing …, 2017 - ieeexplore.ieee.org
This paper analyses the performance of a large bunch of pitch detection algorithms on clean
and noisy speech data. Two sets of noisy speech data are considered. One corresponds to …

Adaptation of hidden Markov models for recognizing speech of reduced frame rate

LM Lee, FR Jean - IEEE Transactions on Cybernetics, 2013 - ieeexplore.ieee.org
The frame rate of the observation sequence in distributed speech recognition applications
may be reduced to suit a resource-limited front-end device. In order to use models trained …

Meta-heuristic approach in neural network for stress detection in Marathi speech

VV Yerigeri, LK Ragha - International Journal of Speech Technology, 2019 - Springer
Stress is defined as a form of psychalgia. Owing to the current day lifestyle of Homo-sapiens,
the most recurring pain is psychogenic; and the most damaging form of psychalgia. Stress in …

[PDF][PDF] On feature extraction for voice pathology detection from speech signals

Z Kons, A Satt, R Hoory, V Uloza… - Proceedings of the …, 2011 - events.eventact.com
Reliable, automatic and objective detector of pathological voice disorders from speech
signals is a long sought-for tool, by voice clinicians as well as by general practitioners. Such …

Towards confidence measures on fundamental frequency estimations

B Deng, D Jouvet, Y Laprie, I Steiner… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
The fundamental frequency is one of the prosodic parameters, and many algorithms have
been developed for estimating the fundamental frequency of speech signals. Most of them …

Robustness to transmission channel-the DSR approach

D Pearce - COST278 and ISCA Tutorial and Research Workshop …, 2004 - isca-speech.org
The desire for improved user interfaces for distributed speech and multimodal services on
mobile devices has motivated the need for reliable recognition performance over mobile …

Speech processing and prosody

D Jouvet - Text, Speech, and Dialogue: 22nd International …, 2019 - Springer
The prosody of the speech signal conveys information over the linguistic content of the
message: prosody structures the utterance, and also brings information on speaker's attitude …

Coherent modification of pitch and energy for expressive prosody implantation

A Sorin, S Shechtman, V Pollet - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
In expressive TTS and voice transformation systems, implantation of expressive prosody
derived from external out-of-domain sources often leads to extreme pitch modification that …