[PDF][PDF] Deep learning approach for spoken digit recognition in Gujarati language
Speech Recognition is an emerging field in the area of Natural Language Processing which
provides ease for human machine interaction with speech. Speech recognition for digits is …
provides ease for human machine interaction with speech. Speech recognition for digits is …
An ASR system for Malayalam short stories using deep neural network in KALDI
KR Lekshmi, E Sherly - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Speech being a natural mode of communication for humans is still a challenging problem for
Speech Recognition (SR) using a computer. Recently the advancement of technology and …
Speech Recognition (SR) using a computer. Recently the advancement of technology and …
Recognition and Spectral Analysis of Adi Digits
This article presents a method for automatically recognizing spoken digits in the Adi
language using the highly effective open-source voice recognition toolkit,“Kaldi”. The study …
language using the highly effective open-source voice recognition toolkit,“Kaldi”. The study …
An acoustic model and linguistic analysis for Malayalam disyllabic words: a low resource language
KR Lekshmi, E Sherly - International Journal of Speech Technology, 2021 - Springer
Abstract Automatic Speech Recognition (ASR) has reaped a lot of attention in recent years.
Despite the recent advancements in ASR, the potential for extracting the raw features from …
Despite the recent advancements in ASR, the potential for extracting the raw features from …
Isolated Odia digit recognition using HTK: an implementation view
This paper outlines the frame work for an isolated Odia digit recognition. The HTK toolkit
which consider the Hidden Markov Model (HMM), as the base for developing the system …
which consider the Hidden Markov Model (HMM), as the base for developing the system …
[HTML][HTML] Isolated spoken word recognition using one-dimensional convolutional neural network
JA Qadir, AK Al-Talabani, HA Aziz - International Journal of Fuzzy Logic and …, 2020 - ijfis.org
Isolated uttered word recognition has many applications in human–computer interfaces.
Feature extraction in speech represents a vital and challenging step for speech-based …
Feature extraction in speech represents a vital and challenging step for speech-based …
An end-to-end deep learning based continuous speech recognition in Kannada
A Kumari, SA Verma, E Singh, AC Toppo… - AIP Conference …, 2024 - pubs.aip.org
Automatic Speech Recognition (ASR) is an efficient method of converting speech signals
into textual format and is often referred to as Speech-to-Text System (S2T). We present an …
into textual format and is often referred to as Speech-to-Text System (S2T). We present an …
Generation of GMM weights by dirichlet distribution and model selection using information criterion for Malayalam speech recognition
L Krishna Ramachandran, S Elizabeth - Intelligent Human Computer …, 2018 - Springer
Abstract Automatic Speech Recognition is a computer-driven transcription of spoken-
language into human-readable text. This paper is focused on the development of an …
language into human-readable text. This paper is focused on the development of an …
Two-stage spoken term detection system for under-resourced languages
G Deekshitha, L Mary - IET Signal Processing, 2020 - IET
Spoken Term Detection (STD) is the process of locating the occurrences of spoken queries
in a given speech database. Generally, two methods are adopted for STD: an ASR based …
in a given speech database. Generally, two methods are adopted for STD: an ASR based …
Two‐stage spoken term detection system for under‐resourced languages.
L Mary - IET Signal Processing (Wiley-Blackwell), 2020 - search.ebscohost.com
Abstract Spoken Term Detection (STD) is the process of locating the occurrences of spoken
queries in a given speech database. Generally, two methods are adopted for STD: an ASR …
queries in a given speech database. Generally, two methods are adopted for STD: an ASR …