Emulating Human Speech Recognition: a Scene Analysis Approach to Improving Robustness in Automatic Speech Recognition
Saved in:
| Title: | Emulating Human Speech Recognition: a Scene Analysis Approach to Improving Robustness in Automatic Speech Recognition |
|---|---|
| Description: | This new book presents a systematic approach to the automatic recognition of simultaneous speech signals using computational auditory scene analysis. Inspired by human auditory perception, this book investigates a range of algorithms and techniques for decomposing multiple speech signals by integrating a spectro-temporal fragment decoder within a statistical search process. The outcome is a comprehensive insight into the mechanisms required if automatic speech recognition is to approach human levels of performance. |
| Authors: | Coy, Andre |
| Resource Type: | eBook. |
| Subjects: | Automatic speech recognition |
| Categories: | COMPUTERS / Optical Data Processing |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | This new book presents a systematic approach to the automatic recognition of simultaneous speech signals using computational auditory scene analysis. Inspired by human auditory perception, this book investigates a range of algorithms and techniques for decomposing multiple speech signals by integrating a spectro-temporal fragment decoder within a statistical search process. The outcome is a comprehensive insight into the mechanisms required if automatic speech recognition is to approach human levels of performance. |
|---|---|
| ISBN: | 9781619429147 9781628087475 |
