This paper presents some results of the application on Evolvable Hardware (EHW) in the area of voice recognition. Evolvable Hardware is able to change inner connections, using genetic learning techniques, adapting its own functionality to external condition changing. This technique became feasible by the improvement of the Programmable Logic Devices. Nowadays, it is possible to have, in a single device, the ability to change, on-line and in real-time, part of its own circuit. This work proposes a reconfigurable architecture of a system that is able to receive voice commands to execute special tasks as, to help handicapped persons in their daily home routines. The idea is to collect several voice samples, process them through algorithms based on Mel - Ceptrais theory to obtain their numerical coefficients for each sample, which, compose the universe of search used by genetic algorithm. The voice patterns considered, are limited to seven sustained Portuguese vowel phonemes (a, eh, e, i, oh, o, u).13 321326Degaris, H., Evolvable hardware genetic programming of a darviw machine (1993) International Conference on Artificial Neural Networks and Genetic Algorithms-ICANNGA93, , Innsbruck, Austria. 1993Higuchi, T., Evolvable hardware and its application to pattern recognition and fault tolerant systems (1996) Lecture Notes in Computer Science, 1062, pp. 118-135Iwata, M., A pattern recognition system using evolvable hardware (1996) Lecture Notes in Computer. Science, 1141, pp. 761-770Kajitani, I., An evolvable hardware chip for prosthetic hand controller (1999) Proceedings, Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-inspired Syst., pp. 179-186. , MicroNeuro99Keymeulen, D., An evolutionary robot navigation system using a gate-level evolvable hardware (1997) Lecture Notes in Computer. Science, 1259, pp. 195-209Kitano, H., Morphogenesis for evolvable systems (1996) Lecture Notes in Computer Science, 1062, pp. 19-47Mantovani, S.C.A., Evolvable Hardware Applied to Voice Recognition for Carried Cerebral Palsy (2000) Anais do Congreso Iberoaniericano - 3°- de Comunicación Alternativa y Aumentativa, y 1°de Tecnologías de Apoyo Para la Discapacidad, , Madrid - Espanha, 18, 19, 20, Outubro, 2000Martins, J.A., (1997) Different Techniques Avahiation in Speech Recognition, p. 82. , Doctor Thesis, DECOM/FEEC/UNICAMP, (in Portuguese)Michalewicz, Z., (1996) Genetic Algorithms +Data Strutures = Evolution Programs, 3rd Ed., , Heidelberg, Germany: Springer - Verlag, 1996Murakawa, M., Hardware evolution at function level (1996) Lecture Notes in Computer Science, 1062, pp. 62-71Picone, J.W., Signal modeling techniques in speech recognition (1993) Proceedings of the IEEE, 81 (9). , September 1993Tomassini, M., Evolutionary algorithms (1997) Lecture Notes in Computer Science, 1259, pp. 195-209Thompson, A., Evolving electronic robot controllers that exploit hardware resources (1995) Lecture Notes in Artificial Intelligence, 929, pp. 640-656Zebulum, R.S., Evolvable systems in hardware design: Taxonomy, survey and applications (1997) Lecture Notes in Computer Science, 1259, pp. 344-358Zebulum, R.S., (2002) Evolutionary eElectronics, Automatic Design of Electronic Circuits and Systems by Genetic Algoritms, p. 299. , The CRC Press International Series on Computational Intelligence., Boca Raton, Florida333431