Congress detail

Authors: Lucas D. Terissi; Gonzalo D. Sad; Juan Carlos Gómez; Marianela Parodi.

Title: Audio-Visual Speech Recognition Scheme based on Wavelets and Random Forests Classification.

Resumen: This paper describes an audio-visual speech recognition system based on wavelets and Random Forests. Wavelet multiresolution analysis is used to represent in a compact form the sequence of both acoustic and visual input parameters. Then, recognition is performed using Random Forests classification using the wavelet-based features as inputs. The efficiency of the proposed speech recognition scheme is evaluated over two audio-visual databases, considering acoustic noisy conditions. Experimental results show that a good performance is achieved with the proposed system, outperforming the efficiency of traditional Hidden Markov Model-based approaches. The proposed system has only one tuning parameter, however, experimental results also show that thisparameter can be selected within a small range without significantly changing the recognition results.

Meeting type: Congreso.

Type of job: Artículo Completo.

Production: Audio-Visual Speech Recognition Scheme based on Wavelets and Random Forests Classification.

Scientific meeting: XX Iberoamerican Congress on Pattern Recognition (CIARP 2015).

Meeting place: Montevideo.

Organizing Institution: Facultad de Ingeniería, Universidad de la República.

It's published?: Yes

Publication place: Montevideo

Meeting month: 11

Year: 2015.

Link: here