Robust Speech Recognition and Understanding

By Grimm, Michael

Book Id: WPLBN0003842522
Format Type: PDF eBook :
File Size:
Reproduction Date: 2015

Title:	Robust Speech Recognition and Understanding
Author:	Grimm, Michael
Volume:
Language:	English
Subject:	Robust Speech, Ai and Robotics, Programming
Collections:	Online Programming Books
Historic Publication Date:	2007
Publisher:	I-tech Education and Publishing


Citation APA MLA Chicago Michaelgrimm,. (2007). Robust Speech Recognition and Understanding. Retrieved from http://self.gutenberg.org/

Description
Description: The first four chapters address the task of voice activity detection which is considered an important issue for all speech recognition systems. The next chapters give several extensions to state-of-the-art HMM methods. Furthermore, a number of chapters particularly address the task of robust ASR under noisy conditions. Two chapters on the automatic recognition of a speaker’s emotional state highlight the importance of natural speech understanding and interpretation in voice-driven systems. The last chapters of the book address the application of conversational systems on robots, as well as the autonomous acquisition of vocalization skills.

Table of Contents
TOC : Voice Activity Detection. Fundamentals and Speech Recognition System Robustness - Bimodal Emotion Recognition using Speech and Physiological Changes - Emotion Estimation in Speech Using a 3D Emotion Space Concept - Linearly Interpolated Hierarchical N-gram Language Models for Speech Recognition Engines - A Factored Language Model for Prosody Dependent Speech Recognition - Early Decision Making in Continuous Speech - Analysis and Implementation of an Automated Delimiter of “Quranic” Verses in Audio Files using Speech Recognition Techniques - An Improved GA Based Modified Dynamic Neural Network for Cantonese-Digit Speech Recognition - Talking Robot and the Autonomous Acquisition of Vocalization and Singing Skill - Conversation System of an Everyday Robot Robovie-IV - Sound Localization of Elevation using Pinnae for Auditory Robots - Autocorrelation-based Methods for Noise-Robust Speech Recognition - The Research of Noise-Robust Speech Recognition Based on Frequency Warping Wavelet - Uncertainty in Signal Estimation and Stochastic Weighted Viterbi Algorithm: A Unified Framework to Address Robustness in Speech Recognition and Speaker Verification - Novel Approaches to Speech Detection in the Processing of Continuous Audio Streams - New Advances in Voice Activity Detection using HOS and Optimization Strategies - Voice and Noise Detection with AdaBoost - Evolutionary Speech Recognition - Using Genetic Algorithm to Improve the Performance of Speech Recognition Based on Artificial Neural Network - A General Approximation-Optimization Approach to Large Margin Estimation of HMMs - Double Layer Architectures for Automatic Speech Recognition Using HMM - Audio Visual Speech Recognition and Segmentation Based on DBN Models - Discrete-Mixture HMMs-based Approach for Noisy Speech Recognition - Speech Recognition in Unknown Noisy Conditions - Speech Recognition Under Noise Conditions: Compensation Methods.