Skip to search formSkip to main contentSkip to account menu

FMLLR

Feature space Maximum Likelihood Linear Regression (fMLLR) is a widely used technique for speaker adaptation in HMM-based speech recognition.
Wikipedia (opens in a new tab)

Related topics

Related topics

5 relations

Broader (2)

Automatic identification and data captureSpeech recognition
Feature scalingHidden Markov modelKernel eigenvoice

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
FMLLR Speaker Normalization With i-Vector: In Pseudo-FMLLR and Distillation Framework
When an automatic speech recognition (ASR) system is deployed for real-world applications, it often receives only one utterance… 
2017
2017
DNNs for unsupervised extraction of pseudo speaker-normalized features without explicit adaptation data
2016
2016
DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data
In this paper, we propose the use of deep neural networks (DNN) as a regression model to estimate feature-space maximum… 
2013
2013
Adaptive stereo-based stochastic mapping
Stereo-based stochastic mapping (SSM) is a technique based on constructing a Gaussian mixture model for the joint distribution of… 
2012
2012
A factorized representation of FMLLR transform based on QR-decomposition
In this paper, we propose a novel representation of the FMLLR transform. This is different from the standard FMLLR in that the… 
2011
2011
Factored MLLR Adaptation
One of the most popular approaches to parameter adaptation in hidden Markov model (HMM) based systems is the maximum likelihood… 
2011
2011
Online Speaker Adaptation with Pre-Computed FMLLR Transformations
This paper presents a memory efficient single pass speech recognizer that makes use of pre-computed FMLLR transformations for… 
2008
2008
Quick fmllr for speaker adaptation in speech recognition
Feature space maximum likelihood linear regression (fMLLR) is a widely used technique for speaker adaptation in HMM-based speech… 
2007
2007
Efficient, Low Latency Adaptation for Speech Recognition
Constrained or feature space maximum likelihood linear regression (FMLLR) is known to be an effective algorithm for adaptation to… 
2006
2006
Feature Adaptation Based on Gaussian Posteriors
In this paper we consider the use of non-linear methods for feature adaptation to reduce the mismatch between test and training… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)