Accuracy of pitch detection algorithms affects the performance of many speech and audio applications such as speech compression, computer music analysis/synthesis and information retrieval of audio signals. In many applications, it is also desired that the algorithms should be robust to background noise. A recurrent network based method is proposed in this paper. Though the proposed method requires more computation compared to some existing methods, it is more accurate and less sensitive to noise. The other advantage is that it requires a smaller time frame to estimate the pitch compared to other methods. Therefore, it is more suitable for tracking the pitch of a pitch-varying signal or a quasi-periodic signal. Synthesized tones and natural tones are used in the computer simulation.
|出版狀態||Published - 2002 一月 1|
|事件||2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States|
持續時間: 2002 五月 12 → 2002 五月 17
|Other||2002 International Joint Conference on Neural Networks (IJCNN '02)|
|期間||02-05-12 → 02-05-17|
All Science Journal Classification (ASJC) codes
- Artificial Intelligence