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Robust speech recognition and understanding 1st Edition by Grimm, Kristian Kroschel ISBN 978-3902613080 3902613084

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Robust speech recognition and understanding Grimm M. Digital Instant Download

Author(s): Grimm M., Kroscel K. (eds.)
ISBN(s): 9783902613080, 3902613084
Edition: I-Tech
File Details: PDF, 5.58 MB
Year: 2007
Language: english
SKU: EB-1005716 Category: Tags: ,

Robust speech recognition and understanding 1st Edition by Grimm M., Kristian Kroschel – Ebook PDF Instant Download/Delivery: 978-3902613080, 3902613084
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Product details: 

ISBN 10:  3902613084

ISBN 13: 978-3902613080

Author:  Grimm M., Kristian Kroschel 

This book on Robust Speech Recognition and Understanding brings together many different aspects of the current research on automatic speech recognition and language understanding. 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: 

    1. Speech and Video Segmentation and Recognition Based on DBN Model
      Dongmei Jiang, Guoyun Lv, Ilse Ravyse, Xiaoyue Jiang, Yanning Zhang, Hichem Sahli, and Rongchun Zhao

    2. A Discrete Mixture HMM-Based Approach for Noisy Speech Recognition
      Tetsuo Kosaka, Masaharu Katoh, and Masaki Kohda

    3. Speech Recognition under Unknown Noise Conditions
      Ji Ming and Baochun Hou

    4. Uncertainty in Signal Estimation and Random Weighted Viterbi Algorithm: A Unified Framework for Robust Speech Recognition and Speaker Verification
      N. Becerra Yoma, C. Molina, C. Garreton, and F. Huenupan

    5. Research on Robust Noise-Resistant Speech Recognition Based on Frequency-Shifted Wavelet
      Xueying Zhang and Wenjun Meng

    6. Autocorrelation-Based Methods for Robust Speech Recognition in Noisy Environments
      Gholamreza Farahani, Mohammad Ahadi & Mohammad Mehdi Homayounpour

    7. Multimodal Emotion Recognition Using Speech and Physiological Changes
      Jonghwa Kim

    8. Emotion Estimation in Speech Using the 3D Emotional Space Concept
      Michael Grimm and Kristian Kroschel

    9. Hierarchical Linear Interpolation N-gram Language Model for Speech Recognition Tools
      Imed Zitouni and Qiru Zhou

    10. Language Model Analysis for Speed-Dependent Speech Recognition
      Ken Chen, Mark A. Hasegawa-Johnson, and Jennifer S. Cole

    11. Early Decision Making in Continuous Speech
      Odette Scharenborg, Louis ten Bosch, and Lou Boves

    12. Analysis and Implementation of an Automatic Splitter for “Qur’an” Sentences in Audio Files Using Speech Recognition Techniques
      Tabbal Hassan, Al-Falou Wassim, and Morila Bassem 

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