Speech Recognition Techniques: A Review
نویسنده
چکیده
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 methods used in various stages of speech recognition system such as Dynamic Time Warp and Hidden Markov Model approaches for isolated speech recognition.
منابع مشابه
Speaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملSpeaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملDesigning and implementing a system for Automatic recognition of Persian letters by Lip-reading using image processing methods
For many years, speech has been the most natural and efficient means of information exchange for human beings. With the advancement of technology and the prevalence of computer usage, the design and production of speech recognition systems have been considered by researchers. Among this, lip-reading techniques encountered with many challenges for speech recognition, that one of the challenges b...
متن کاملClassification of emotional speech using spectral pattern features
Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmonic Energy features (HEs) for emotion recognition. These features extracted from the spectrogram ...
متن کاملComprehensive Analysis of Signal Processing Techniques Used For Speaker Identification
Speaker recognition is more active biometric task, which bases from the more general speech processing area. Likewise, most of the other speech-related recognition activities (language recognition, speech recognition), speaker recognition is a multidisciplinary problem. Both understanding of pattern recognition techniques and domain knowledge (Acoustics/Phonetics) are necessary. The motivation ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014