Voice Recognition White Papers
Doubletalk Detection Using Real Time Recurrent Learning
Overview This paper presents a new system for doubletalk detection that uses multiple signal detectors/discriminators based on recurrent networks. The goal is to build a simple system that learns to combine information from different signal sources to make robust decisions even under changing noise conditions. The paper uses three detectors - two of these are frequency domain signal detectors, one at the far-end and one at the microphone channel. The third detector determines the relative level of near-end speech vs. far-end echo in the microphone signal. The new double-talk detector combines information from all these detectors to make its decision.
| Publisher | Microsoft | File Format | |
|---|---|---|---|
| Date Published | April 2006 | ||
| Format | White Papers | ||
| Topics | |||
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