<--- Back to Details
First PageDocument Content
Free software / Open formats / Data compression / Opus / Software / Audio codecs / Noise / Xiph.Org Foundation / MPEG / Comparison of audio coding formats
Date: 2013-10-22 12:11:08
Free software
Open formats
Data compression
Opus
Software
Audio codecs
Noise
Xiph.Org Foundation
MPEG
Comparison of audio coding formats

Voice Coding with Opus Koen Vos, Karsten Vandborg Sørensen, Søren Skak Jensen, Jean-Marc Valin Two Opus presentations ● This talk: Voice Mode (Koen)

Add to Reading List

Source URL: opus-codec.com

Download Document from Source Website

File Size: 1,36 MB

Share Document on Facebook

Similar Documents

Voice Coding with Opus Koen Vos, Karsten Vandborg Sørensen, Søren Skak Jensen, Jean-Marc Valin Two Opus presentations ● This talk: Voice Mode (Koen)

Voice Coding with Opus Koen Vos, Karsten Vandborg Sørensen, Søren Skak Jensen, Jean-Marc Valin Two Opus presentations ● This talk: Voice Mode (Koen)

DocID: 1rpCA - View Document

Approach to Real Time Encoding of Audio Samples A DSP Realization of the MPEG Algorithm ME 235 Professor Steve Kraft University of California Berkeley

Approach to Real Time Encoding of Audio Samples A DSP Realization of the MPEG Algorithm ME 235 Professor Steve Kraft University of California Berkeley

DocID: 1rldq - View Document

Ivan Dimkovic  Improved ISO AAC Coder IMPROVED ISO AAC CODER 1

Ivan Dimkovic Improved ISO AAC Coder IMPROVED ISO AAC CODER 1

DocID: 1rl6J - View Document

360  WEBDUO*1 (Resolution: 1920*360pixs)  Attachment 3: Illustrations of LCD Bulletin Boards Layouts in the Public Space of Taipei

360 WEBDUO*1 (Resolution: 1920*360pixs) Attachment 3: Illustrations of LCD Bulletin Boards Layouts in the Public Space of Taipei

DocID: 1rks2 - View Document

The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources Keith Vertanen Department of Computer Science Princeton University

The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources Keith Vertanen Department of Computer Science Princeton University

DocID: 1rjIM - View Document