@article{LIU2011, 
author = {Hong LIU and Yanmin QIAN and Jia LIU},
title = {English Speech Recognition System on Chip},
year = {2011},
journal = {Tsinghua Science and Technology},
volume = {16},
number = {1},
pages = {95-99},
keywords = {non-specific human voice-consciousness, system-on-chip, mel-frequency cepstral coefficients (MFCC)},
url = {https://www.sciopen.com/article/10.1016/S1007-0214(11)70015-3},
doi = {10.1016/S1007-0214(11)70015-3},
abstract = {An English speech recognition system was implemented on a chip, called speech system-on-chip (SoC). The SoC included an application specific integrated circuit with a vector accelerator to improve performance. The sub-word model based on a continuous density hidden Markov model recognition algorithm ran on a very cheap speech chip. The algorithm was a two-stage fixed-width beam-search baseline system with a variable beam-width pruning strategy and a frame-synchronous word-level pruning strategy to significantly reduce the recognition time. Tests show that this method reduces the recognition time nearly 6 fold and the memory size nearly 2 fold compared to the original system, with less than 1% accuracy degradation for a 600 word recognition task and recognition accuracy rate of about 98%.}
}