@article{MAKHILLJEAS2017122315264,
    title = {Performance Evaluation of Automatic Speech Recognition with
Wideband Speech Codecs},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {23},
    pages = {7293-7298},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.7293.7298},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.7293.7298},
    author = {D. and},
    keywords = {Speech codecs,IVR,AMR-WB,TIMIT,rates,higher},
    abstract = {WTIMIT which is a derivative of TIMIT emerged as a latest technique for speech quality. The
technique has good wideband characteristics over a range of 50-7 kHz. In this study, on the performance of
phoneme recognition system has been performed. In the previous paper the effect of decimating the
signal to 8 kHz is explained in the conventional case. Further it is possible to extend the evaluation
of the AMR-wideband codec for several acoustic models. It is possible to propose the WTIMIT type of
wideband channel data from training interactive voice receiving system. The observation is that though some
of the codes are showing poor performance at lower bit rates, ASR performance is comparable with other codecs
at higher bit rates.}
    }