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JSSC 2015第1期Memory65nm

A 6 mW 5000-Word Real-Time Speech Recognizer Using WFST Models

一款基于WFST模型的低功耗实时语音识别芯片,支持5000词库。
65nm CMOS, 6.0 mW核心功耗, 13.0%词错误率
语音识别WFST模型低功耗实时处理集成电路
可编程WFST和GMM语音模型
优化的算法和架构以降低内存和带宽需求
高效的搜索能力(16nJ/假设)
Abstract
We describe an IC that provi des a local speech recog- nition capability for a variety of electronic devices. We start with a generic speech decoder architecture that is programmable with in- dustry-standard WFST and GMM speech models. Algorithm and architectural enhancements are incorporated in order to achieve real-time performance amid syste m-level constraints on internal memory size and external memory bandwidth. A 2.5 × 2.5 mm test chip implementing this architecture was fabricated using a