What can predictive speech coders learn from speaker recognizers?
Marcos Faundez-Zanuy
TL;DR
This paper explores how techniques from speaker recognition can be adapted to improve predictive speech coding, demonstrating enhanced prediction accuracy through experimental results.
Contribution
It introduces the application of speaker recognition methods to speech coding, revealing parallels and improving coding performance.
Findings
Improved Segmental SNR (SEGSNR) in speech coding
Parallelism between speech coding and speaker recognition
Potential for cross-application of techniques
Abstract
This paper compares the speech coder and speaker recognizer applications, showing some parallelism between them. In this paper, some approaches used for speaker recognition are applied to speech coding in order to improve the prediction accuracy. Experimental results show an improvement in Segmental SNR (SEGSNR).
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Taxonomy
TopicsSpeech Recognition and Synthesis · Advanced Data Compression Techniques · Speech and Audio Processing