An isolated word recognition system based on DSP and improved dynamic time warping algorithm

Li, Shicheng; Ren, Hai‐Peng

doi:10.1109/pic.2010.5687421

Cited by 2 publications

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“…La mayoría de las soluciones propuestas en la literatura que A. G. Alvarez, Estudiante de la Universidad Tecnológica Nacional, Facultad Regional Buenos Aires, Argentina, alegasalv@gmail.com D. A. Evin, Investigador del Laboratorio de Investigaciones Sensoriales, INIGEM, CONIET-UBA, Buenos Aires, Argentina, diegoevin@gmail.com S. Verrastro, Profesor de la Universidad Tecnológica Nacional, Facultad Regional Buenos Aires, Argentina, sebastian_verrastro@yahoo.com.ar abordan el problema de Reconocimiento Automático del Habla (RAH) en Sistemas Embebidos, se basan en Procesadores de Señales Digitales (DSP) [2][3][4][5][6] o en Field Programmable Gate Arrays (FPGA) [7][8][9]. También pueden encontrarse algunas implementaciones basadas en Microcontroladores.…”

Section: Trabajos Relacionadosunclassified

Implementation of a Speech Recognition System in a DSC

Alvarez

Evin²,

Verrastro

2016

IEEE Latin Am. Trans.

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This paper describes the development and validation of an Embedded IsolatedWord Recognition System (IWR) for the Argentinian Spanish language, implemented on the STM32F4-Discovery platform. Its front-end extracts Mel Frequency Cepstral Coefficients (MFCC), while its classification step is based on the Dynamic Time Warping (DTW) algorithm. Since the system was conceived as a base platform for the research and development of speechbased command and control applications, it was designed to be modular and to meet real-time performance. The system includes a Real Time Operating System (RTOS) to manage various processing and control tasks, which can be easily reconfigured with different acquisition, processing and recognition parameters using a single file. The validation was done using a scenario of robotic control, achieving performance rates which demonstrates the practical usefulness of the system.

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Section: Trabajos Relacionadosunclassified

Implementation of a Speech Recognition System in a DSC

Alvarez

Evin²,

Verrastro

2016

IEEE Latin Am. Trans.

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Quality Estimation of Speech Recognition Features for Dynamic Time Warping Classifier

Lileikytė

Telksnys

2012

ITC

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The choice of the quality features set remains the main issue for the successful speech recognition system. In the literature, quality of features is estimated by calculating the classification error. So that, it is needed to run classification process with each explored feature system in order to choose the highest quality one. Therefore, a major issue of this paper is to propose a methodology for quality establishment of speech features without running the classification process. The proposed methodology is based on metrics that do not need parameters setting, thus the results can be uniformly interpreted across the different problems. The methodology consists of the following parts: 1) establishment of the best metric in combination with used classifier, 2) making a decision regarding the highest quality feature system. In the experiment, we use Dynamic Time Warping (DTW) classifier. The metric of intra/inter class nearest neighbor distances (Q3) is identified as the best one. Employing our proposed methodology, we established Perceptual Linear Prediction analyses to be the highest quality feature system within the explored feature systems. The correctness of the results is confirmed by DTW classification error.

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An isolated word recognition system based on DSP and improved dynamic time warping algorithm

Cited by 2 publications

References 0 publications

Implementation of a Speech Recognition System in a DSC

Implementation of a Speech Recognition System in a DSC

Quality Estimation of Speech Recognition Features for Dynamic Time Warping Classifier

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