TY - GEN
T1 - Digit recognition in the Náhuatl language
T2 - 9th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence and Applications, MICAI 2010
AU - Suárez-Guerra, Sergio
AU - Oropeza-Rodríguez, José Luis
AU - Flores-Paulin, Juan Carlos
AU - Sánchez-Fernández, Luis Pastor
PY - 2010
Y1 - 2010
N2 - The aim of Automatic Speech Recognition (ASR) is to develop techniques and systems that enable a computer to accept speech input. The digit recognition task has been often employed contributing to the ASR. In this work, we used parameters of Lineal Prediction Codes (LPC) and Mel Frequency Cepstrum Coefficients (MFCCs). For selection of the best analysis interval we used a Vector Quantization Model. For recognition, we applied the Continuous Density Hidden Markov Model (CDHHM), which employed a dictionary conformed of eighteen command words that are specific digits from the Náhuatl language. The obtained results were compared using Discrete Hidden Markov Models and Vector Quantization Models. In this experiment, we obtained a performance of 99% accuracy for digit recognition. In our experiments we used three native speakers.
AB - The aim of Automatic Speech Recognition (ASR) is to develop techniques and systems that enable a computer to accept speech input. The digit recognition task has been often employed contributing to the ASR. In this work, we used parameters of Lineal Prediction Codes (LPC) and Mel Frequency Cepstrum Coefficients (MFCCs). For selection of the best analysis interval we used a Vector Quantization Model. For recognition, we applied the Continuous Density Hidden Markov Model (CDHHM), which employed a dictionary conformed of eighteen command words that are specific digits from the Náhuatl language. The obtained results were compared using Discrete Hidden Markov Models and Vector Quantization Models. In this experiment, we obtained a performance of 99% accuracy for digit recognition. In our experiments we used three native speakers.
KW - Automatic speech recognition
KW - Discrete Hidden Markov Models
KW - Náhuatl language
KW - Viterbi training
UR - http://www.scopus.com/inward/record.url?scp=79951788925&partnerID=8YFLogxK
U2 - 10.1109/MICAI.2010.27
DO - 10.1109/MICAI.2010.27
M3 - Contribución a la conferencia
AN - SCOPUS:79951788925
SN - 9780769542843
T3 - Proceedings of Special Session - 9th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence and Applications, MICAI 2010
SP - 143
EP - 147
BT - Proceedings of Special Session - 9th Mexican International Conference on Artificial Intelligence
Y2 - 8 November 2010 through 13 November 2010
ER -