计算机科学
语音活动检测
语音编码
语音识别
可理解性(哲学)
线性预测编码
编解码器2
PSQM
自然性
语音处理
语音合成
光学(聚焦)
量子力学
认识论
光学
物理
哲学
作者
Douglas D. O'Shaughnessy
标识
DOI:10.1186/s13636-023-00274-x
摘要
Abstract Speech is the most common form of human communication, and many conversations use digital communication links. For efficient transmission, acoustic speech waveforms are usually converted to digital form, with reduced bit rates, while maintaining decoded speech quality. This paper reviews the history of speech coding techniques, from early mu-law logarithmic compression to recent neural-network methods. The techniques are examined in terms of output quality, algorithmic complexity, delay, and cost. Focus is on which aspects of speech can be exploited for high-quality transmission. The choices made to code speech are motivated by efficiency, the needs of applications, and access to information in the speech signal that is useful for both intelligibility and naturalness in the reconstructed speech at the decoder.
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