Titlebook: Automatic Speech Recognition on Mobile Devices and over Communication Networks; Zheng-Hua Tan,B?rge Lindberg Book 2008 Springer-Verlag Lon

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書目名稱Automatic Speech Recognition on Mobile Devices and over Communication Networks影響因子(影響力)




書目名稱Automatic Speech Recognition on Mobile Devices and over Communication Networks影響因子(影響力)學(xué)科排名




書目名稱Automatic Speech Recognition on Mobile Devices and over Communication Networks網(wǎng)絡(luò)公開度




書目名稱Automatic Speech Recognition on Mobile Devices and over Communication Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Automatic Speech Recognition on Mobile Devices and over Communication Networks被引頻次




書目名稱Automatic Speech Recognition on Mobile Devices and over Communication Networks被引頻次學(xué)科排名




書目名稱Automatic Speech Recognition on Mobile Devices and over Communication Networks年度引用




書目名稱Automatic Speech Recognition on Mobile Devices and over Communication Networks年度引用學(xué)科排名




書目名稱Automatic Speech Recognition on Mobile Devices and over Communication Networks讀者反饋




書目名稱Automatic Speech Recognition on Mobile Devices and over Communication Networks讀者反饋學(xué)科排名

Heresy

連詞

Psychosomatic Medicine in Modern Greecenetworks. In particular, a speech coder that is optimized for automatic speech recognition (ASR) is presented, where it provides speech quality comparable to the conventional standard speech coders used in the IP networks. In addition, we compare the performance of NSR using the ASR-optimized speech coder to that using a conventional speech coder.

dyspareunia

Timo Kivist?,Veli Matti Virolainenrequency) from the terminal device. An alternative method of back-end speech reconstruction is then explained, where the voicing and fundamental frequency are predicted from the received MFCC vectors. This enables speech to be reconstructed solely from the MFCC vector stream and requires no explicit voicing and fundamental frequency transmission.

GOAD

Bryan F. Mansfield,Keith F. SniderDSR and describe the use of a perceptually weighted distance measure to enhance spectral peaks in vector quantization. Finally, we present some experimental results on the quantization schemes in a DSR framework and compare their relative recognition performances.

背心

Quality as a Cost Improvement Techniquearameter representation a simple scalar quantized representation is shown for the case of quantized HMMs (qHMMs). The effects on computational complexity are also reviewed for all the compression methods presented.

ACTIN

KIN

Speech Recognition Over IP Networksnetworks. In particular, a speech coder that is optimized for automatic speech recognition (ASR) is presented, where it provides speech quality comparable to the conventional standard speech coders used in the IP networks. In addition, we compare the performance of NSR using the ASR-optimized speech coder to that using a conventional speech coder.

Synthesize

Speech Feature Extraction and Reconstructionrequency) from the terminal device. An alternative method of back-end speech reconstruction is then explained, where the voicing and fundamental frequency are predicted from the received MFCC vectors. This enables speech to be reconstructed solely from the MFCC vector stream and requires no explicit voicing and fundamental frequency transmission.

浮雕