RESUMO
Assessing pigs' welfare is one of the most challenging subjects in intensive pig farming. Animal vocalization analysis is a noninvasive procedure and may be used as a tool for assessing animal welfare status. The objective of this research was to identify stress conditions in piglets reared in farrowing pens through their vocalization. Vocal signals were collected from 40 animals under the following situations: normal (baseline), feeling cold, in pain, and feeling hunger. A unidirectional microphone positioned about 15 cm from the animals' mouth was used for recording the acoustic signals. The microphone was connected to a digital recorder, where the signals were digitized at the 44,100 Hz frequency. The collected sounds were edited and analyzed. The J48 decision tree algorithm available at the Weka(®) data mining software was used for stress classification. It was possible to categorize diverse conditions from the piglets' vocalization during the farrowing phase (pain, cold and hunger), with an accuracy rate of 81.12%. Results indicated that vocalization might be an effective welfare indicator, and it could be applied for assessing distress from pain, cold and hunger in farrowing piglets.
RESUMO
O objetivo deste trabalho é avaliar a inteligibilidade da língua portuguesa falada no Brasil, limitada à faixa de frequências entre 0 e 1 kHz. Dados sobre inteligibilidade em baixa frequência frequentemente usados no Brasil foram obtidos para a língua inglesa. Esse estudo considera a inteligibilidade de vogais, palavras isoladas e frases foneticamente balanceadas. Foram utilizados um locutor masculino e 25 ouvintes do sexo feminino. A língua portuguesa falada no Brasil filtrada em 1 kHz apresentou, na avaliaçäo indireta de preservaçäo de ritmo e inteligibilidade, 99,5 por cento de respostas entre regular e excelente. Em avaliaçäo direta de palavras isoladas e frases longas a inteligibilidade foi de 64 por cento.
