In this paper, improved Linear Predictive Coding (LPC) coefficients of the frame are employed in the feature extraction method. In the proposed speech recognition system, the static LPC coefficients + dynamic LPC coefficients of the frame were employed as a basic feature. The framework of Linear Discriminant Analysis (LDA) is used to derive an efficient and reduced-dimension speech parametric s...

objectives: this paper studies the effect of persian cued speech on the perception of persian language phonemes and monosyllabic words with and without sound in hearing impaired children. cued speech is a sound based mode of communication for hearing impaired people that is comprised of a limited series of hand complements and the normal pattern of speech. and it is shown that it effectively ca...

The OGI Multi-language Telephone Speech Corpus is designed to support research on automatic language identi cation and multi-language speech recognition. The corpus consists of up to nine separate responses from each caller, ranging from single words to short topic-speci c descriptions to 60 seconds of unconstrained spontaneous speech. The utterances were spoken over commercial telephone lines ...

Emotion plays a significant role in cognitive psychology, behavioural sciences and humanoid robot design. The continuing improvements in speech recognition technology have led to many new and fascinating applications in human-computer interaction, context aware computing and computer mediated communication. A growing number of research studies in emotion recognition via an isolated short senten...

Speech recognition basically means talking to a computer, having it recognize what Speakers are saying. The person would also like to interact with computer via speech. It can be accomplished by speech recognition system in which computer identifies the word spoken by a speaker into a microphone. Speech recognition is becoming more complex and a challenging task. The research is focusing on lar...

Persian (Farsi) script is totally cursive and each character is written in several different forms depending on its former and later characters in the word. These complexities make automatic handwriting recognition of Persian a very hard problem and there are few contributions trying to work it out. This paper presents a novel practical approach to online recognition of Persian handwriting whic...

In recent years, considerable material has been accumulated in the field of experimental studies Iranian languages, including works by Soviet and Russian scholars, enabling us to make new generalizations regarding acoustic characteristics word stress as part problem speech recognition. The study languages rather uneven: most focused on Persian, only a few covered other 11 described this article...

SUMMARY A new approach to speech feature estimation under noise circumstances is proposed in this paper. It is used in noise-robust continuous speech recognition (CSR). As the noise robust techniques in isolated word speech recognition, the running spectrum analysis (RSA), the running spectrum filtering (RSF) and the dynamic range adjustment (DRA) methods have been developed. Among them, only R...

Prosodic features in continuous speech provide cues which may be used to disambiguate syntactic ambiguities and to increase the accuracy of speech recognition/understanding systems. This paper presents a novel method using a multivariate statistical framework for producing a model of the relationship between prosodic and syntactic structures in continuous speech. The model can be used for Lingu...