Name
Abstract | ||
|---|---|---|
For medium or long distance acoustic speech communication, transmission rate is relatively low due to various disadvantageous factors such as multipath propagation, under such condition, speech compression methods are necessary for effective transmission. A good method needs to retain the characteristics of the speaker and achieve a good compression rate. Considering that the speech signal is usually redundant, a speech pre-compression algorithm based on syllable division is proposed. It can extract the voiced speech and the silence part of the speech signal, and subsequently delete the redundant part that does not affect the semantic comprehension. Through data processing, this pre-compression algorithm is demonstrated can compress the speech signal up to 80% and not affect listener differentiating or semantic comprehension. |
Year | Venue | Field |
|---|---|---|
2016 | Proc. Meetings on Acoustics | Multipath propagation,Speech processing,Data compression ratio,Speech coding,Voice activity detection,Syllable,Acoustics,Speech shadowing,Linear predictive coding,Physics |
DocType | Volume | Issue |
Journal | 29 | 1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Zhang | 1 | 777 | 123.70 |
| Dong Xiao | 2 | 1 | 4.11 |
| Qunyan Ren | 3 | 0 | 0.34 |
| Shengming Guo | 4 | 0 | 0.34 |
| Fuyuan Mo | 5 | 2 | 1.53 |