 |
|
What people are saying - Write a reviewWe haven't found any reviews in the usual places. Related books
Contents
Other editions - View all
Common terms and phrases3GPP acoustic model algorithm applications approach architecture ASR features ASR performance ASR systems bit allocation bit errors bit rate bitrate bitstream block quantizer Bluetooth cepstral cepstral coefficients channel coding client codebook codec components compression computation database decoding density distortion distributed speech recognition embedded encoded energy consumption error concealment estimated ETSI evaluation feature extraction feature vector filterbank fixed-point fixed-point arithmetic floating-point frame front-end fundamental frequency Gaussian hidden Markov models IEEE Transactions implementation input interleaving IP networks kbps language model likelihood memory MFCC vectors mobile devices mobile phones multimodal N-gram noise optimal output packet loss parameters platforms recognition accuracy recognition performance reduce robust scalar quantization scheme server Signal Processing speaker spectral Speech and Audio speech coder speech features speech signal subspace techniques tion translation transmission transmitted vector quantization Viterbi voice VoiceXML wireless word error rate Popular passagesPage 83 - A Survey of Packet Loss Recovery Techniques for Streaming Audio, Page 159 - Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences", IEEE Trans. Page 185 - Convolutional Codes and Their Performance in Communication Systems," IEEE Transactions on Communications, vol. Page 22 - Enabling new speech-driven services for mobile devices: An overview of the ETSI standards activities for distributed speech recognition front-ends. Page 21 - The AURORA experimental framework for the performance evaluation of speech recognition systems under noisy conditions", in Proceedings of ISCA ITRW ASR 2000. Page 161 - Matrix quantizer design for LPC speech using the generalized Lloyd algorithm," IEEE Transactions on Acoustics Speech and Signal Processing, vol. Page 60 - NR Sollenberger, N. Seshadri, and R. Cox, "The Evolution of IS-136 TDMA for Third-Generation Wireless Services," IEEE Personal Communications, Vol. Page 10 - Its major goal is to bring the advantages of web-based development and content delivery to interactive voice response applications. Page 160 - Rabiner, L., and Juang, BH. (1993). Fundamentals of Speech Recognition. Prentice Hall PTR, Englewood Cliffs, New Jersey. Page 132 - The balance of this chapter is divided into four sections. In the first section, we discuss how research results are affected by procedural choices with regard to each operational feature. References to this bookFrom Google ScholarSpeech Recognition for Smart HomesIan McLoughlin, Hamid Reza Sharifzadeh Bibliographic information
|