Real-Time Speech Signal Segmentation Methods

Kupryjanow A, Czyzewski A. Real-Time Speech Signal Segmentation Methods. J Audio Eng Soc. 2013;61(7/8):521-534. Available from: https://aes.org/publications/elibrary-page/?id=16868

@article{Kupryjanow2013_16868,
  author = {Kupryjanow, Adam and Czyzewski, Andrzej},
  title = {{Real-Time Speech Signal Segmentation Methods}},
  journal = {Journal of the Audio Engineering Society},
  volume = {61},
  number = {7/8},
  pages = {521--534},
  year = {2013},
  month = jul,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16868}
}

TY  - JOUR
TI  - Real-Time Speech Signal Segmentation Methods
AU  - Kupryjanow, Adam
AU  - Czyzewski, Andrzej
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 61
IS  - 7/8
SP  - 521
EP  - 534
PY  - 2013
DA  - 2013/07/06
UR  - https://aes.org/publications/elibrary-page/?id=16868
PB  - Audio Engineering Society
LA  - en
AB  - Many researchers have developed algorithms for speech-signal segmentation in such applications as automatic speech recognition, speech coding, echo cancellation, automatic noise reduction, signal-to-noise ratio estimation, nonuniform time-scale modification, estimating the speech rate, automatic language identification, and speaker emotion recognition. Unlike algorithms that work offline, the authors developed two algorithms for real-time speech analysis as applied to detection of vowel-regions and estimation of speech rate. The accuracy, reliability, and real-time performance of these algorithms were evaluated in samples of Polish speech; experimental results showed that they performed equal to or better than existing offline approaches.
ER  -