A Method of Subject Extension Pitch Extraction for Humming and Singing Signals
Jinghui Zhang, Shen Yang, Huahua Wu
Available Online August 2016.
- https://doi.org/10.2991/cset-16.2016.71How to use a DOI?
- Humming query, pitch extraction, endpoint detection, subject extension
- Pitch extraction is a key task of ahumming query system.The purpose of this paper isto find a method to extract pitch accuratelyfortwo input modes, humming and singing.According to the characteristics of Chinese pronunciation, this paper presentsa new method, namely the Pitch Extraction of Subject Extension.According to the differencesbetween humming and singing signals, this method respectively chooses energy threshold and ratio of energy and entropy to detect endpoint of notes.The candidate method and the shortest distance method are used to determine the pitch periods of the voiced segments, and subject extension method is used to determine the pitch periods of the voiced/unvoiced mixed segments. Finally this algorithm is implemented in a small database, andis compared withother similar algorithms. Experiments show our algorithm is more accurate and robust.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jinghui Zhang AU - Shen Yang AU - Huahua Wu PY - 2016/08 DA - 2016/08 TI - A Method of Subject Extension Pitch Extraction for Humming and Singing Signals BT - 2016 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SP - 304 EP - 309 SN - 2352-538X UR - https://doi.org/10.2991/cset-16.2016.71 DO - https://doi.org/10.2991/cset-16.2016.71 ID - Zhang2016/08 ER -