Name
Abstract | ||
|---|---|---|
In this paper we present first experimental results with a novel audio coding technique based on approximating Hilbert envelopes of relatively long segments of audio signal in critical-band-sized sub-bands by autoregressive model We exploit the generalized autocorrelation linear predictive technique that allows for a better control of fitting the peaks and troughs of the envelope in the sub-band Despite introducing longer algorithmic delay, improved coding efficiency is achieved Since the described technique does not directly model short-term spectral envelopes of the signal, it is suitable not only for coding speech but also for coding of other audio signals. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11846406_59 | TSD |
Keywords | Field | DocType |
approximating hilbert envelope,coding speech,novel audio coding technique,better control,improved coding efficiency,algorithmic delay,model short-term spectral envelope,autoregressive model,autocorrelation linear predictive technique,audio signal,spectral dynamic,speech coding,speech | Audio signal,Autoregressive model,Speech coding,Computer science,Linear prediction,Speech recognition,Sub-band coding,Harmonic Vector Excitation Coding,Linear predictive coding,Autocorrelation | Conference |
Volume | ISSN | ISBN |
4188 | 0302-9743 | 3-540-39090-1 |
Citations | PageRank | References |
6 | 0.71 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Petr Motlíček | 1 | 13 | 3.36 |
| Hynek Hermansky | 2 | 3298 | 510.27 |
| Harinath Garudadri | 3 | 171 | 23.32 |
| Naveen Srinivasamurthy | 4 | 53 | 7.35 |