A Survey on Speech Feature Extraction and Classification Techniques

被引:0
|
作者
Nivetha, S. [1 ]
机构
[1] Dr Mahalingam Coll Engn & Technol, Dept Comp Sci & Engn, Pollachi, Tamil Nadu, India
关键词
Automatic Speech Recognition (ASR); Classification techniques; Feature Extraction techniques;
D O I
10.1109/icict48043.2020.9112582
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Speech recognition is an approach of acknowledging human speech with the aid of the system and to produce string output in written format. A model is positioned from a crew of audio recordings whose corresponding transcripts are created with the resource of taking recordings of speech as audio and their textual content transcriptions, the use of software program to create statistical representations of the sounds that would make up every phrase famous via incorporating Language Processing (NLP) methods. For several decades, researchers are working in the field of speech recognition and communication. This paper describes some of the techniques and approaches that are developed by various researchers in the field of speech recognition.
引用
收藏
页码:48 / 53
页数:6
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