The performance of speech recognition tasks utilizing systems based on deep learning has improved dramatically in recent years by different designs and methodologies. A popular way to boosting the number training data is called Data Augmentation (DA), research shows that using DA effective teaching neural network models how make invariant predictions. furthermore, EM approaches have piqued mach...

Automatic Speech Recognition has been a goal of research for many decades. Many research works have been developed successfully for automatic speech recognition (ASR) of English language. ASR for European languages has not reached their height as ASR in English language. In this work, an implementation of Tamil based automatic speech Recognition System is developed. The ASR has many phases to p...

Although a great deal of progress has been made during the last two decades in automatic speech recognition (ASR), the performance of these ASR systems, as measured by word recognition and concept understanding error rates, is still much worse than that achieved by humans, even for carefully read and articulated speech in quiet conditions. This performance gap (between machines and humans) incr...

In this paper, we introduce the Stethoscopic Non-Audible Murmur (NAM) microphone, and we focus on its application in automatic speech recognition systems. The NAM microphone is attached behind the talker’s ear, and can capture very quietly uttered murmur (NAM speech). It is applicable in automatic speech recognition systems, when privacy is important in human-machine communication. Moreover, si...

A paradigm for automatic speech recognition using networks of actions performing variable depth analysis is presented. The paradigm produces descriptions of speech properties that are related to speech units through Markov models representing system performance. Preliminary results in the recognition of isolated letters and digits are presented. 1. I N T R O D U C T I O N Recent results on Auto...

OBJECTIVE Tracheoesophageal voice is state-of-the-art in voice rehabilitation after laryngectomy. Intelligibility on a telephone is an important evaluation criterion as it is a crucial part of social life. An objective measure of intelligibility when talking on a telephone is desirable in the field of postlaryngectomy speech therapy and its evaluation. PATIENTS AND METHODS Based upon successf...

Automatic speech recognition enables a wide range of current and emerging applications such as automatic transcription, multimedia content analysis, and natural human-computer interfaces. This paper provides a glimpse of the opportunities and challenges that parallelism provides for automatic speech recognition and related application research from the point of view of speech researchers. The i...

We consider the problem of speech recognition given visual and auditory information, and discuss some of the ways that speech synthesis can provide assistance. Three possible contributions of synthetic visual speech are discussed: First, the use of synthetic speech to study human speech perception, second, the use of speech synthesis techniques to instantiate models of human speech production, ...

To overcome the problems related with the long impulse responses produced by reverberation, we use a long time window (high frequency resolution) analysis during the channel normalization steps of the feature extraction process in automatic speech recognition (ASR). After nor-malization, a trade between frequency and time resolution is used to increase the rate at which the time information is ...