Recognizing voice commands for robot using MFCC and DTW

NIDHI DESAI; KINNAL DHAMELIYA; VIJAYENDRA DESAI M.Tech. Research Student; Department Of Electronics and Communication Engineering; Chhotubhai Gopalbhai Patel Institute of Technology (CGPIT) Bardoli; India Assistant Professor; Department Of Electronics and Communication Engineering; Chhotubhai Gopalbhai Patel Institute of Technology (CGPIT) Bardoli; India Assistant Professor; Department Of Electronics and Communication Engineering; C.K.P.C.E.T.; Surat; India

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Recognizing voice commands for robot using MFCC and DTW

NIDHI DESAI, PROF. KINNAL DHAMELIYA, PROF. VIJAYENDRA DESAI M.Tech. Research Student, Department Of Electronics and Communication Engineering, Chhotubhai Gopalbhai Patel Institute of Technology (CGPIT) Bardoli, India Assistant Professor, Department Of Electronics and Communication Engineering, Chhotubhai Gopalbhai Patel Institute of Technology (CGPIT) Bardoli, India Assistant Professor, Department Of Electronics and Communication Engineering, C.K.P.C.E.T., Surat, India

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Abstract: This paper proposes an approach to recognize English words corresponding to control Robot in an isolated way by different male and female speakers. The aim is to focuses on recognizing voice using Mel- frequency cepstral coefficients (MFCCs) and Dynamic Time Warping (DTW) introduced by Sakoe Chiba [3]. MFCC are the coefficients that collectively represent the short-term power spectrum of a sound, deploy on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. Computation of Short Time Energy (STE), Zero Crossing Rate (ZCR), start point and endpoint detection, Mel Frequency Cepstral Coefficient (MFCC) and DTW algorithm are used to process speech samples to accomplish the recognition. The algorithm is tested on speech samples. The system is then applied to recognition of isolated word in English language that is used to control robot for specify application. The algorithm is tested on speech samples that are recorded. The results show that the algorithm conducted to recognize almost 75.19% of all recorded words using four different methods applied on MFCC computation and likewise their comparison is observed.

Keywords: DTW, Start point, End point, MFCC, Recognition Accuracy, STE, ZCR

How to Cite:

[1] NIDHI DESAI, PROF. KINNAL DHAMELIYA, PROF. VIJAYENDRA DESAI M.Tech. Research Student, Department Of Electronics and Communication Engineering, Chhotubhai Gopalbhai Patel Institute of Technology (CGPIT) Bardoli, India Assistant Professor, Department Of Electronics and Communication Engineering, Chhotubhai Gopalbhai Patel Institute of Technology (CGPIT) Bardoli, India Assistant Professor, Department Of Electronics and Communication Engineering, C.K.P.C.E.T., Surat, India, “Recognizing voice commands for robot using MFCC and DTW,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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