%0 Journal Article %1 noauthororeditor %A Das, Dipankar %D 2014 %J International Journal of Computer Science, Engineering and Applications (IJCSEA) %K ANN Speaker digital feature identification processing signal speech %N 4 %P 1-14 %T UTTERANCE BASED SPEAKER IDENTIFICATION USING ANN %U http://airccse.org/journal/ijcsea/papers/4414ijcsea03.pdf %V 4 %X In this paper we present the implementation of speaker identification system using artificial neural network with digital signal processing. The system is designed to work with the text-dependent speaker identification for Bangla Speech. The utterances of speakers are recorded for specific Bangla words using an audio wave recorder. The speech features are acquired by the digital signal processing technique. The identification of speaker using frequency domain data is performed using back propagation algorithm. Hamming window and Blackman-Harris window are used to investigate better speaker identification performance. Endpoint detection of speech is developed in order to achieve high accuracy of the system.

@article{noauthororeditor, abstract = {In this paper we present the implementation of speaker identification system using artificial neural network with digital signal processing. The system is designed to work with the text-dependent speaker identification for Bangla Speech. The utterances of speakers are recorded for specific Bangla words using an audio wave recorder. The speech features are acquired by the digital signal processing technique. The identification of speaker using frequency domain data is performed using back propagation algorithm. Hamming window and Blackman-Harris window are used to investigate better speaker identification performance. Endpoint detection of speech is developed in order to achieve high accuracy of the system.}, added-at = {2018-02-23T12:13:46.000+0100}, author = {Das, Dipankar}, biburl = {https://www.bibsonomy.org/bibtex/2adf8b4ee8dba233619e5bc842b538e75/ijcsea}, interhash = {14c468f365a9a5e656bf4b8d88575cbf}, intrahash = {adf8b4ee8dba233619e5bc842b538e75}, journal = {International Journal of Computer Science, Engineering and Applications (IJCSEA)}, keywords = {ANN Speaker digital feature identification processing signal speech}, month = {August}, number = 4, pages = {1-14}, timestamp = {2018-02-23T12:13:46.000+0100}, title = {UTTERANCE BASED SPEAKER IDENTIFICATION USING ANN}, url = {http://airccse.org/journal/ijcsea/papers/4414ijcsea03.pdf}, volume = 4, year = 2014 }