Autor:	Tian-Sheuan Chang, Shuo-Wen Hsu
Rok vydání:	2012
Předmět:	Signal-to-noise ratio Computer science Speech recognition Speech coding Electronic engineering Codec Data_CODINGANDINFORMATIONTHEORY Lossy compression Binaural recording
Zdroj:	ISCAS
DOI:	10.1109/iscas.2012.6271892
Popis:	This paper presents a low complexity speech coder with the adaptive Minimum-Maximum Scalar Quantization (MMSQ) method suitable for binaural communication in hearing aids. Compared to the fixed rate MMSQ, the adaptive MMSQ can achieve similar or better compression ratio with 13dB SNR improvement. The final codec implementation with 0.18um CMOS process only costs 6K gate count with 118uW power consumption.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::555e39ca47221fc36032d911d8c05f31 https://doi.org/10.1109/iscas.2012.6271892 Zobrazit plný text záznamu