Name
Abstract | ||
|---|---|---|
The recently standardized codec for Enhanced Voice Services (EVS) consists of a number of modes to achieve its high coding flexibility. In this paper we focus on techniques that enable a seamless switching between two linear prediction based modes running at different sampling rates within this codec. The first one deals with an efficient conversion of the linear prediction filter coefficients. The other one is based on a constrained-memory ACELP called transition coding (TC) that significantly limits the inter-frame long-term dependency. We show that the use of TC can be successfully extended to improve quality also in coding other transitions, e.g. strong onsets of voiced speech. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) | Speech coding, ACELP, LP filter, transitions, EVS |
Field | DocType | ISSN |
Speech coding,Extended Adaptive Multi-Rate – Wideband,Computer science,Electronic engineering,Artificial intelligence,Codec2,Codec,Code-excited linear prediction,Vector sum excited linear prediction,Pattern recognition,Adaptive Multi-Rate audio codec,Speech recognition,Algebraic code-excited linear prediction | Conference | 1520-6149 |
Citations | PageRank | References |
1 | 0.42 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vaclav Eksler | 1 | 32 | 5.92 |
| Milan Jelinek | 2 | 33 | 8.49 |
| Redwan Salami | 3 | 168 | 22.49 |