منابع مشابه
Speech Recognition: A Review
Speech is a natural mode to interact with others. With speech, we can express our words to others. Speech recognition is a way or technology where the statements or commands of human speech to understand and react accordingly. Speech recognition allows machining system to turn the incoming speech signals into commands through the process of identifying and understanding. It also creates the nat...
متن کاملSpeech Emotion Recognition: A Review
The man-machine relation has demanded the smart trends that machines have to react after considering the human emotional levels. The technology boost improved the machine intelligence that it gained the capability to identify human emotions at expected level. Harnessing the approaches of signal processing and pattern recognition algorithms a smart and emotions specific man-machine interaction c...
متن کاملSpeech Recognition Technique: A Review
Speech is the primary, and the most convenient means of communication between people. The communication among human computer interaction is called human computer interface. Speech has potential of being important mode of interaction with computer. This paper gives an overview of major technological perspective and appreciation of the fundamental progress of speech recognition and also gives ove...
متن کاملSpeech Recognition Techniques: A Review
This paper presents detailed review of Speech Recognition. Speech recognition is essential for a computer to reach the goal of natural human-computer communication. Speech recognition has gained a lot of interest in the researchers from various fields. A wide variety of approaches have been proposed to recognize isolated words. The objective of this review paper is to summarize some well-known ...
متن کاملPresentation of K Nearest Neighbor Gaussian Interpolation and comparing it with Fuzzy Interpolation in Speech Recognition
Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2020
ISSN: 0975-8887
DOI: 10.5120/ijca2020919989