Real World Speech Processing

Real World Speech Processing brings together in one place important contributions and up-to-date research results in this fast-moving area. The contributors to this work were selected from the leading researchers and practitioners in this field.
The work, originally published as Volume 36, Numbers 2-3 of the Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, will be valuable to anyone working or researching in the field of speech processing. It serves as an excellent reference, providing insight into some of the most challenging issues being examined today.

Klappentext

Real World Speech Processing brings together in one place important contributions and up-to-date research results in this fast-moving area. The contributors to this work were selected from the leading researchers and practitioners in this field. The work, originally published as Volume 36, Numbers 2-3 of the Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, will be valuable to anyone working or researching in the field of speech processing. It serves as an excellent reference, providing insight into some of the most challenging issues being examined today.

Zusammenfassung
Real World Speech Processing brings together in one place important contributions and up-to-date research results in this fast-moving area. The contributors to this work were selected from the leading researchers and practitioners in this field.
The work, originally published as Volume 36, Numbers 2-3 of the Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, will be valuable to anyone working or researching in the field of speech processing. It serves as an excellent reference, providing insight into some of the most challenging issues being examined today.

Inhalt
A Robust Bimodal Speech Section Detection.- Acoustic Feature Analysis and Discriminative Modeling of Filled Pauses for Spontaneous Speech Recognition.- Simultaneous Recognition of Distant-Talking Speech of Multiple Talkers Based on the 3-D N-Best Search Method.- Multi-Modal Speech Recognition Using Optical-Flow Analysis for Lip Images.- Speech Enhancement Using Perceptual Wavelet Packet Decomposition and Teager Energy Operator.- Use of Microphone Array and Model Adaptation for Hands-Free Speech Acquisition and Recognition.- Multimedia Corpus of In-Car Speech Communication.- Speech and Language Processing for Multimodal Human-Computer Interaction.- Blind Model Selection for Automatic Speech Recognition in Reverberant Environments.