Statistical Modeling in Continuous Speech Recognition (CSR)(Invited Talk)

01/10/2013
by   Steve Young, et al.
0

Automatic continuous speech recognition (CSR) is sufficiently mature that a variety of real world applications are now possible including large vocabulary transcription and interactive spoken dialogues. This paper reviews the evolution of the statistical modelling techniques which underlie current-day systems, specifically hidden Markov models (HMMs) and N-grams. Starting from a description of the speech signal and its parameterisation, the various modelling assumptions and their consequences are discussed. It then describes various techniques by which the effects of these assumptions can be mitigated. Despite the progress that has been made, the limitations of current modelling techniques are still evident. The paper therefore concludes with a brief review of some of the more fundamental modelling work now in progress.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/17/2019

Speech Recognition With No Speech Or With Noisy Speech Beyond English

In this paper we demonstrate continuous noisy speech recognition using c...
research
01/14/2021

Fast offline Transformer-based end-to-end automatic speech recognition for real-world applications

Many real-world applications require to convert speech files into text w...
research
01/27/2017

A Comprehensive Survey on Bengali Phoneme Recognition

Hidden Markov model based various phoneme recognition methods for Bengal...
research
09/04/2020

Silent Speech Interfaces for Speech Restoration: A Review

This review summarises the status of silent speech interface (SSI) resea...
research
01/15/2022

Recent Progress in the CUHK Dysarthric Speech Recognition System

Despite the rapid progress of automatic speech recognition (ASR) technol...
research
04/09/2018

Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Describes an audio dataset of spoken words designed to help train and ev...
research
07/01/2016

Moving Toward High Precision Dynamical Modelling in Hidden Markov Models

Hidden Markov Model (HMM) is often regarded as the dynamical model of ch...

Please sign up or login with your details

Forgot password? Click here to reset