Optimal feature vector for speech recognition of unequally segmented spoken digits

Karam, Jalal; Phillips, William J.; Robertson, William

doi:10.1109/ccece.2000.849723

Cited by 2 publications

(1 citation statement)

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“…The desirable parameters of the codecs deployed for such applications include [21][22]: Operation in low bit rate, low complexity, robustness across different speakers and languages, robustness in performance in the presence of channel errors, etc. The latest research in the field of signal processing has identified that Daubechies family of wavelets provides optimal results in the recognition of spoken digits as compared to other wavelets [15,23,24,25] and has the advantage of approximate shift -invariance and better edge representation as compared to real-valued discrete wavelet transform [26][27]. Hence, the Daubechies family of wavelets has been considered in the proposed codec.…”

Section: Speech Signal Compression Using Waveletsmentioning

confidence: 99%

Scalable Hybrid Speech Codec for Voice over Internet Protocol Applications

Ray¹,

Chandra²,

Patil³

2016

ijacsa

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Abstract-With the advent of various web-based applications and the fourth generation (4G) access technology, there has been an exponential growth in the demand of multimedia service delivery along with speech signals in a voice over internet protocol (VoIP) setup. Need is felt to fine-tune the conventional speech codecs deployed to cater to the modern environment. This fine-tuning can be achieved by further compressing the speech signal and to utilize the available bandwidth to deliver other services. This paper presents a scalable -hybrid model of speech codec using ITU-T G.729 and db10 wavelet. The codec addresses the problem of compression of speech signal in VoIP setup. The performance comparison of the codec with the standard codec has been performed by statistical analysis of subjective, objective and quantifiable parameters of quality desirable from the codec deployed in VoIP platforms.

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