Abstract
Recently, usable speech criteria are proposed to extract minimally corrupted speech for speaker identification (SID) in co-channel speech. In this paper, we propose a new usable speech extraction method to improve the SID performance under the co-channel situation based on the pitch information obtained from a robust multi-pitch tracking algorithm. The idea is to retain the speech segments that have only one pitch detected and remove the others. The system is evaluated on co-channel speech and results show a significant improvement across various Target to Interferer Ratios (TIR) for speaker identification.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 205-208 |
| Number of pages | 4 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 2 |
| State | Published - 2003 |
| Externally published | Yes |
| Event | 2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong Duration: Apr 6 2003 → Apr 10 2003 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering