Abstract
The key to the success of speech-based technology is an understanding of human speech communication. While significant advances have been made, a unified theory of speech communication that is both comprehensive and quantitative is yet to emerge. In this paper we approach speech communication from an information theoretical perspective. Without relying on prior knowledge of speech production, language, or auditory processing, we develop a new methodology for measuring the information rate of speech. Instead we rely on having recordings of multiple talkers saying the same utterance. In general, our results are consistent with a linguistic understanding of speech communication.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 5625-5629 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-5090-4117-6 |
DOIs | |
Publication status | Published - 2017 |
Event | ICASSP 2017: 42nd IEEE International Conference on Acoustics, Speech and Signal Processing - The Internet of Signals - Hilton New Orleans Riverside, New Orleans, LA, United States Duration: 5 Mar 2017 → 9 Mar 2017 Conference number: 42 http://www.ieee-icassp2017.org/ |
Conference
Conference | ICASSP 2017 |
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Abbreviated title | ICASSP |
Country/Territory | United States |
City | New Orleans, LA |
Period | 5/03/17 → 9/03/17 |
Internet address |
Keywords
- Information theory
- speech communication
- talker variability