Development of Isolated Marathi Words Emotional Speech Database
نویسندگان
چکیده
The research work describes the procedure and the development of Isolated Marathi Emotional Speech Database. The database consists of samples, collected from 50 speakers including males and females who simulated the emotions producing by the Marathi utterances which are used in everyday communication and are interpretable in all applied emotions. The speech samples were enhanced by spectral subtraction method and distinguished by the various real life situations. The recorded speech samples were categorized in three basic categories i.e. Happy, Sad and Angry. General Terms Speech Signal Processing, Speech Recognition, Emotion Recognition, Spectral Subtraction, Emotional Speech Database.
منابع مشابه
Stuttered Isolated Spoken Marathi Speech Recognition by using MFCC and LPC
Stuttering is a speech disorder in which the person who stutters is unable to produce sounds, syllables, words or phrases as well as involuntary silent pauses or blocks. This paper presents the stuttered speech recognition system for Marathi Regional Language We collect the stuttered speech samples i.e. zero to nine spoken in Marathi language from Marathwada region. We also calculate the speech...
متن کاملRule Based POS Tagger for Marathi Text
Part-of-Speech (POS) tagging is the process of assigning a part-of-speech like noun, verb, adjective, adverb, or other lexical class marker to each word in a sentence. This paper presents a POS Tagger for Marathi language text using Rule based approach, which will assign part of speech to the words in a sentence given as an input. We describe our system as the one which tokenizes the string int...
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 کامل‘vVISWa’ – A Multilingual Multi-Pose Audio Visual Database for Robust Human Computer Interaction
Automatic Speech Recognition (ASR) by machine is an attractive research topic in signal processing domain and has attracted many researchers to contribute in this area of signal processing and pattern recognition. In recent year, there have been many advances in automatic speech reading system with the inclusion of audio and visual speech features to recognize words under noisy conditions. The ...
متن کاملDeveloping a Standardized Medical Speech Recognition Database for Reconstructive Hand Surgery
Fast and holistic access to the patients’ clinical record is a major requirement of modern medical decision support systems (DSS). While electronic health records (EHRs) have replaced the traditional paper-based records in most healthcare organization, the data entry into these systems remains largely manual. Speech recognition technology promises substitution of the more convenient speech-base...
متن کامل