Name
Title | ||
|---|---|---|
Fundamental Frequency Estimation Using Modified Higher Order Moments And Multiple Windows |
Abstract | ||
|---|---|---|
This paper proposes a set of higher-order modified moments for estimation of the fundamental frequency of speech and explores the impact of the speech window length on pitch estimation error. The pitch extraction methods are evaluated in a range of noise types and SNRs. For calculation of errors, pitch reference values are calculated from manually-corrected estimates of the periods obtained from laryngograph signals. The results obtained for the 3rd and 4th order modified moment compare well with methods based on correlation and magnitude difference criteria and the YIN method; with improved pitch accuracy and less occurrence of large errors. |
Year | Venue | Keywords |
|---|---|---|
2011 | 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5 | Speech, pitch, higher order moments |
Field | DocType | Citations |
Electroglottograph,Magnitude (mathematics),Reference values,Higher order moments,Fundamental frequency,Pattern recognition,Computer science,Speech recognition,Correlation,Artificial intelligence,Pitch detection algorithm | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alipah Pawi | 1 | 0 | 0.34 |
| Saeed Vaseghi | 2 | 281 | 40.15 |
| Ben Milner | 3 | 65 | 8.81 |
| Seyed Ghorshi | 4 | 17 | 5.17 |