Chi tiết| Tên | Segmentation of Telephone Speech Based on Speech and Non-Speech Models |
| Lĩnh vực | Tin học |
| Tác giả | Michael Heck, Christian Mohr, Sebastian Stüker, Markus Müller, Kevin Kilgour, Jonas Gehring, Quoc Bao Nguyen, Van Huy Nguyen, and Alex Waibel |
| Nhà xuất bản / Tạp chí | Lecture Notes in Computer Science Tập 8113 Năm 2013 |
| Số hiệu ISSN/ISBN | 302-9743 |
| Tóm tắt nội dung | |
In this paper we investigate the automatic segmentation of recorded telephone conversations based onmodels for speech and non-speech to find sentence like chunks for use in speech recognition systems. Presented are two different approaches, based on Gaussian Mixture Models (GMMs) and Support Vector Machines (SVMs), respectively. The proposed methods provide segmentations that allow for competitive speech recognition performance in terms of word error
rate (WER) compared to manual segmentation.
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