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The Automatic Speech (ASR) area is defined as thetransformation of acoustic signals into string words. This areahas been being developed for many year facilitating the livesof people so it was implemented in several languages. However,the development of ASR in some languages with few databaseresources but with a large population speaking these languagesis very low. The development of ASR in Quechua language isalmost null which leads culture and population isolation fromtechnology and information. In this work an ASR system ofisolated Quechua numbers is developed where Mel-FrequencyCepstral Coefficients (MFCC), Dynamic Time Warping (DTW)and K-Nearest Neighbor (KNN) methods are implemented usinga database composed by recorded audio numbers from one toten in Quechua. The recorded audios to feed the data base wereuttered by natives man and women speakers of Quechua. Therecognition accuracy reached in this research work was 91.1%.

Isolated Automatic Speech Recognition of Quechua Numbers using MFCC, DTW and KNN