Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance degrades in noisy environments. This paper presents a brief survey on Automatic Speech Recognition on Malays Corpus and multi-modal speech recognition on others Corpus. The audio.
Selected experimental results, including speech recognition and related applications such as spoken dialogue and language modeling, are presented to demonstrate and analyze the strengths and weaknesses of the techniques described in the paper. Potential improvement of these techniques and future research directions are discussed.
This paper presents an approach to the recognition of speech signal using frequency spectral information with Mel frequency for the improvement of speech feature representation in a HMM based.
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Research on Speech Recognition Technology and Its Application Abstract: Speech recognition is a kind of technology that is using computer to transfer the voice signal to an associated text or command by identification and understand. The paper depicts the speech recognition system and the main techniques of speech recognition, and makes a preliminary exploration for its application in various.
Abstract: Emotion recognition or affect detection from speech is an old and challenging problem in the field of artificial intelligence. Many significant research works have been done on emotion recognition. In this paper, the recent works on affect detection using speech and different issues related to affect detection has been presented.
The main aim of this paper is to provide a systematic survey of the existing literature related to automatic speech recognition (i.e. speech to text) for Indian languages. The survey analyses the.
Recent advances in speech recognition technology (SRT) had added positive impact to increase the user’s adaption toward EMR and to be as an alternative to the transcription services. The aim of this paper is to provide comprehensive details of a research study related to the SRT implementation in Ministry of Health (MOH) and to measure it is benefits in terms of productivity, quality of the.
Optical Character Recognition-OCR research papers Optical character recognition free download Machine replication of human functions, like reading, is an ancient dream. However, over the last five decades, machine reading has grown from a dream to reality. Optical character recognition has become one of the most successful applications of technology in the field Optical character recognition.
A face recognition system based on humanoid robot is discussed and implemented in this paper; the structure and hardware features of humanoid robot NAO are analyzed, and the meaning and method of achieving face recognition system are discussed; a humanoid robot is a copy of human by science and technology, whose visual system is just like human's eyes, certainly, therefore, recognition is a.
Speech recognition is the ability to identify spoken words, and speaker recognition is the ability to identify who is saying them. The usefulness of identifying a person from the characteristics of his voice is increasing with the growing importance of automatic information processing and telecommunications. In this paper we provide a brief overview of the area of speaker recognition.
Feature extraction is a very important part in speech emotion recognition, and in allusion to feature extraction in speech emotion recognition problems, this paper proposed a new method of feature extraction, using DBNs in DNN to extract emotional features in speech signal automatically. By training a 5 layers depth DBNs, to extract speech emotion feature and incorporate multiple consecutive.
In this paper, we introduce a conversational agent which is applied to the food-ordering dialog system. It uses VenusDictate as speech recognition front-end, then understands the semantics of the input sentence by extracting the keywords of the sentence, finally it interacts with the user by speech. The experimental results show that the.
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Speech recognition is the inter-disciplinary sub-field of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers. Improving Children Speech Recognition through Feature Learning from Raw Speech Signal free download Children speech recognition based on short-term spectral features is a.Speech recognition technology, also known as “voice recognition technology,” is probably one of the most exciting technology developments to become more popular in recent years. In this chapter, the terms “speech recognition” and “voice recognition” are used interchangeably. Speech recognition is ubiquitous and is being used on all computing platforms. Individual consumers do not.This paper presents a brief survey on Automatic Speech Recognition and discusses the major themes and advances made in the past 60 years of research, so as to provide a technological perspective and an appreciation of the fundamental progress that has been accomplished in this important area of speech communication. After years of research and development the accuracy of automatic speech.