BANGLA ISOLATED WORD SPEECH RECOGNITION
The paper presents Bangla word speech recognition using spectral analysis and fuzzy logic. As human speech is imprecise and ambiguous, the fuzzy logic – the base of which is indeed linguistic ambiguity, could serve as a more precise tool for analysing and recognizing human speech. Even though the core source of an uttered word is a voiced signal, our system revolves around the visual representation of voiced signals – the spectrogram. The spectrogram may be perceived as a “visual entity. The essences of a spectrogram are matrices that include information about properties of a sound, e.g., energy, frequency and time. In this research the spectral analysis has been chosen as opposed to image processing for increased accuracy. The decision making process of our system is based on fuzzy logic. Experimental results demonstrate that our system is 80％ accurate compared to a commercial Hidden Markov Model (HMM) based speech recognizer that shows 73％ accuracy on an average.
Speech Recognition Spectrogram Fuzzy Logic STFT Standard Deviation Segmentation
Adnan Firoze M. Shamsul Arifin Ryana Quadir Rashedur M. Rahman
Department of Electrical Engineering and Computer Science, North South Univeristy, Bashundhara, Dhaka, Bangladesh
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
2542-2551
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）