Speech Analysis for Alphabets in Bangla Language: Automatic Speech Recognition
نویسندگان
چکیده
منابع مشابه
Formant Analysis of Bangla Vowel for Automatic Speech Recognition
To provide new technological benefits to the mass people, nowadays, regional and local language recognition draws attention to the researchers. Similarly to other languages, Bangla speech recognition scheme is demandable. A formant is considered as the resonance frequency of vocal tract. Formant frequencies play an important role for the purpose of automatic speech recognition, due to its noise...
متن کاملRole of Prosody in Automatic Modality Recognition of Bangla Speech
During expressive speech, the voice is enriched to convey not only the intended semantic message but also the speaker’s state of mind and intention. Our goal is to design a tool which can be used in Speech-to-Speech translation system for automatically classifying utterances of Bangla into three modalities namely Statement, Question and Command. Although pitch and intensity features have been c...
متن کاملAutomatic Spontaneous Speech Recognition for Punjabi Language Interview Speech Corpus
Automatic Speech Recognition presents natural phenomena for the communication among man and machine. The purpose of Speech Recognition speech system is to convert the sequence of sound units in the form of text description. The main objective of the research work is to develop the automatic spontaneous speech model for the Punjabi language. Punjabi is categorized as a constituent of the Indo-Ar...
متن کاملFocusing language models for automatic speech recognition
This paper describes a method for selecting text data from a corpus with the aim of training auxiliary Language Models (LMs) for an Automatic Speech Recognition (ASR) system. A novel similarity score function is proposed, which allows to score each document belonging to the corpus in order to select those with the highest scores for training auxiliary LMs which are linearly interpolated with th...
متن کاملA Database for Automatic Persian Speech Emotion Recognition: Collection, Processing and Evaluation
Abstract Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popular method of communication, recognizing human emotions from speech signal becomes a challenging research topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian em...
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: International Journal of Engineering Research
سال: 2014
ISSN: 2319-6890
DOI: 10.17950/ijer/v3s2/211