Titlebook: Deep Learning Approaches for Spoken and Natural Language Processing; Virender Kadyan,Amitoj Singh,Laith Abualigah Book 2021 The Editor(s)

COLIC

LARK

Design and Testing of Reversible Logicd as a potential human behavioral trait to cope with various smart systems. Influence of speech-driven devices, whether it is speech recognition based or speaker recognition based, can be marked at various places in today’s life. This chapter discusses the private and public sources of speech data t

類人猿

CAGE

Design and Testing of Reversible Logic trend. In the past few decades, researchers have focused on integrating ensemble learning methods alongside the use of semi-supervised learning paradigm to construct more detailed and efficient classification systems. Likewise, male and female anatomical differences in human speech are related to t

TRACE

嚴(yán)重傷害

Grasping

Optimal Fractal Feature Selection and Estimation for Speech Recognition Under Mismatched ConditionsC) have been recorded with modest changes using hidden Markov models (HMM). The selection of optimal features was made possible by increasing child data through adaptation measures on adult data, which has allowed for the examination of new features under mismatched conditions resulting in an overal

LEVER

geriatrician

Classical and Deep Learning Data Processing Techniques for Speech and Speaker Recognitions,ion technique. Analysis of this chapter indicates that classical feature extraction techniques of cepstral domain like Mel Frequency Cepstral Coefficients (MFCC) are the most popular and better in performance for speech and speaker recognition tasks. This chapter provides the implementation details

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