On_preprocessing_of_speech_signals.pdf (580.95 kB)
On preprocessing of speech signals
journal contribution
posted on 2023-06-07, 15:11 authored by Ayaz Keerio, Bhargav Kumar Mitra, Phil BirchPhil Birch, Rupert YoungRupert Young, Chris ChatwinChris ChatwinPreprocessing of speech signals is considered a crucial step in the development of a robust and efficient speech or speaker recognition system. In this paper, we present some popular statistical outlier-detection based strategies to segregate the silence/unvoiced part of the speech signal from the voiced portion. The proposed methods are based on the utilization of the 3 s edit rule, and the Hampel Identifier which are compared with the conventional techniques: (i) short-time energy (STE) based methods, and (ii) distribution based methods. The results obtained after applying the proposed strategies on some test voice signals are encouraging
History
Publication status
- Published
File Version
- Published version
Journal
International Journal of Signal ProcessingISSN
2070-397XPublisher
World Academy of Science, Engineering and TechnologyIssue
3Volume
5Page range
216-222Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes