RESUMO Objetivo Este trabalho apresenta as margens de tolerâncias mínimas e máximas para as frequências dos três primeiros formantes (F1, F2 e F3) na pronúncia das vogais orais do português brasileiro para utilização em terapias de voz para surdos. Método As frequências foram obtidas a partir da colaboração voluntária de 53 indivíduos adultos que tiveram as vozes gravadas e convertidas em sinais digitais durante a emissão de cada uma das sete vogais (/a/, /e/, /Ɛ/, /i/, /o/, /ᴐ/, /u/), de maneira sustentada por cerca de um segundo. As amostras foram distribuídas em dois grupos, um masculino e outro feminino. A gravação e a extração dos formantes foram efetuadas através de software próprio desenvolvido para este fim na plataforma MATLAB, utilizando o algoritmo LPC (Linear Predictive Coding) de oito coeficientes. Resultados Os resultados mostraram que uma referência consistente para os valores médios das frequências de F1, F2 e F3 pôde ser obtida através da análise gráfica e estatística das amostras de sinais de voz coletada. Conclusão Os valores de referência encontrados foram analisados e podem ser usados para calibração de dispositivos e podem servir de base para o treinamento de oralização para surdos.

ABSTRACT Purpose This study presents the margins of minimum and maximum tolerances for the frequencies of the first three formants (F1, F2, and F3) in the pronunciation of vowels of Brazilian Portuguese for use in voice therapy for the deaf. Methods The frequencies were obtained from the voluntary collaboration of 53 adults who had their voices recorded and converted into digital signals during the phonation of each of the seven vowels (/a/, /e/, /Ɛ/, /i/, /o/, /ᴐ/, /u/) sustained for approximately one second. The samples were divided into two groups: male and female. The recording and extraction of the formants were conducted by software developed exclusively for this purpose in MATLAB platform using the eight-coefficient LPC (Linear Predictive Coding) algorithm. Results The results showed that a consistent reference for the mean values of the F1, F2, and F3 frequencies can be obtained through graphical and statistical analysis of the samples collected from the voice signals. Conclusion The reference values obtained were analyzed and can be used for the calibration of devices and serve as a basis for training oralization for the deaf.

This paperwork presents a Pulse Width Modulation (PWM) speed controller for an electric mini-baja-type car. A battery-fed 1-kW three-phase induction motor provides the electric vehicle traction. The open-loop speed control is implemented with an equal voltage/frequency ratio, in order to maintain a constant amount of torque on all velocities. The PWM is implemented by a low-cost 8-bit microcontroller provided with optimized ROM charts for distinct speed value implementations, synchronized transition between different charts and reduced odd harmonics generation. This technique was implemented using a single passenger mini-baja vehicle, and the essays have shown that its application resulted on reduced current consumption, besides eliminating mechanical parts.