Add to ORKGThe work presented here suggests a method for assessing speech accommodation in a holistic acoustic manner by utilising Hidden Markov Models (HMMs). The rationale for implementation of this method is presented along with an explanation of how HMMs work. Here, a heavily simplified HMM is used (single state; mixture of gaussians) in order to assess the applicability of more sophisticated HMMs. Results are presented from a small-scale study of six pairs of female Scottish-English speakers, showing measurement of significant trends and changes in holistic acoustic features of speakers during conversational interaction. Our findings suggest that methods integrating HMMs with current holistic acoustic measures of speech may be a useful tool in ac...
The EMIME European project is conducting research in the development of technologies for mobile, per...
Hidden Markov models (HMM`s) are among the most popular tools for performing computer speech recogni...
For over a decade, the Hidden Markov Model (HMM) has been the primary tool used for acoustic modelin...
Phenomena like filled pauses, laughter, breathing, hesitation, etc. play significant role in everyda...
Abstract: "This paper provides a description of the acoustic variations of speech and its applicatio...
In this paper the incorporation of important phonetic properties into hidden Markov models (HMM) is ...
Natural language processing enables computer and machines to understand and speak human languages. S...
One of the phenomena to emerge from the study of human spoken interaction is accommodation or the te...
During the last decade the field of speech recognition has used the theory of hidden Markov models (...
This paper describes the use of a semi-continuous hidden Markov models for speaker verification. The...
AbstractThis paper introduces an autoregressive hidden Markov model (HMM) and demonstrates its appli...
In this paper, we demonstrate two different methods for improving the accuracy and correctness of th...
This thesis introduces an autoregressive hidden Markov model (HMM) and demonstrates its application ...
Spoken Dialogue Systems (SDS) have evolved over the last three decades from simple single word comma...
Automatic speech recognition (ASR) systems based on hidden Markov models (HMMs) are effective under ...
The EMIME European project is conducting research in the development of technologies for mobile, per...
Hidden Markov models (HMM`s) are among the most popular tools for performing computer speech recogni...
For over a decade, the Hidden Markov Model (HMM) has been the primary tool used for acoustic modelin...
Phenomena like filled pauses, laughter, breathing, hesitation, etc. play significant role in everyda...
Abstract: "This paper provides a description of the acoustic variations of speech and its applicatio...
In this paper the incorporation of important phonetic properties into hidden Markov models (HMM) is ...
Natural language processing enables computer and machines to understand and speak human languages. S...
One of the phenomena to emerge from the study of human spoken interaction is accommodation or the te...
During the last decade the field of speech recognition has used the theory of hidden Markov models (...
This paper describes the use of a semi-continuous hidden Markov models for speaker verification. The...
AbstractThis paper introduces an autoregressive hidden Markov model (HMM) and demonstrates its appli...
In this paper, we demonstrate two different methods for improving the accuracy and correctness of th...
This thesis introduces an autoregressive hidden Markov model (HMM) and demonstrates its application ...
Spoken Dialogue Systems (SDS) have evolved over the last three decades from simple single word comma...
Automatic speech recognition (ASR) systems based on hidden Markov models (HMMs) are effective under ...
The EMIME European project is conducting research in the development of technologies for mobile, per...
Hidden Markov models (HMM`s) are among the most popular tools for performing computer speech recogni...
For over a decade, the Hidden Markov Model (HMM) has been the primary tool used for acoustic modelin...