Name
Title | ||
|---|---|---|
Fundamental Frequency Extraction and Tone Recognition of Chinese Continuous Two-character-words. |
Abstract | ||
|---|---|---|
Chinese is a language composed of syllables with tones. Initials, finals, and tones are the three main attributes of Chinese syllables. In this paper, continuous two-character-words are segmented through syllables, and the effective segmentation of syllables is performed by using the characteristics of short-time energy and short-time zero-crossing rate of initial. It is useful to extracting the pitch frequency with the autocorrelation function and average amplitude difference function method . This paper proposes a speaker-independent two-character-words fuzzy identification method and uses the main characteristics of the pitch curve to form a fuzzy membership function. The tone recognition algorithm uses the decision function to classify the tone pattern. The method has simple, reliable, and good real-time characteristics. |
Year | Venue | Field |
|---|---|---|
2018 | ICIS | Speech processing,Fundamental frequency,Pitch Frequency,Computer science,Segmentation,Tone recognition,Speech recognition,Feature extraction,Amplitude,Autocorrelation |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yaping Yang | 1 | 17 | 5.99 |
| Yaoyao Zhang | 2 | 0 | 0.34 |