Automatic Recognition of Word Using Visual Speech Information Based on Human's Recognition Trend
نویسندگان
چکیده
منابع مشابه
Discrete Speech Recognition Using a Hausdorff Based Metric - An Automatic Word-Based Speech Recognition Approach
In this work we provide an automatic speaker-independent word-based discrete speech recognition approach. Our proposed method consist of several processing levels. First, an word-based audio segmentation is performed, then a feature extraction is applied on the obtained segments. The speech feature vectors are computed using a delta delta mel cepstral vocal sound analysis. Then, a minimum dista...
متن کاملSpeech Emotion Recognition Using Scalogram Based Deep Structure
Speech Emotion Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, most of those features can be affected by emotionally irrelevant factors such as gender, speaking styles and environment. Here, an SER method has been proposed based on a concat...
متن کاملFuzzy Clustering Approach Using Data Fusion Theory and its Application To Automatic Isolated Word Recognition
In this paper, utilization of clustering algorithms for data fusion in decision level is proposed. The results of automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy vector quantization. Experimental results show that the...
متن کاملthe effect of using visual aids on the development of speech act of disagreement among iranian intermediate efl learners
abstract the present study tried to investigate the effect of visual aids (films) on the development of the speech act of disagreement among iranian efl intermediate learners. to this end, the researcher selected 40 homogeneous intermediate learners based on their scores on oxford placement test. .the subjects then divided into control group and experimental group. both classes were tested by ...
Word confusability prediction in automatic speech recognition
A new method to predict if two words are likely to be confused by an Automatic Speech Recognition (ASR) system is presented in this paper. A new inter-word dissimilarity measure based on Dynamic Time Warping (DTW) is used to classify the word pairs as confusable or not confusable. Firstly, the phonetic transcriptions of the two words to compare are aligned using only phonetic information. After...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transactions of the Institute of Systems, Control and Information Engineers
سال: 1991
ISSN: 1342-5668,2185-811X
DOI: 10.5687/iscie.4.163