Add to ORKGIn this paper, we illustrate the close parallels between the research fields of human speech recognition (HSR) and automatic speech recognition (ASR) using a computational model of human word recognition, SpeM, which was built using techniques from ASR. We show that ASR has proven to be useful for improving models of HSR by relieving them of some of their shortcomings. However, in order to build an integrated computational model of all aspects of HSR, a lot of issues remain to be resolved. In this process, ASR algorithms and techniques definitely can play an important role. 1
In this paper, we present a novel computational model of human speech recognition – called SpeM – ba...
This paper investigates the interaction between acoustic scores and symbolic mismatch penalties in m...
In this paper, we present a novel computational model of human speech recognition -- called SpeM -- ...
Item does not contain fulltextIn everyday life, speech is all around us, on the radio, television, a...
Item does not contain fulltextAlthough researchers studying human speech recognition (HSR) and autom...
Although researchers studying human speech recognition (HSR) and automatic speech recognition (ASR) ...
The fields of human speech recognition (HSR) and automatic speech recognition (ASR) both investigate...
Recently, a computational model of human word recognition, called SpeM, has been developed. In contr...
The central issues in the study of speech recognition by human listeners (HSR) and of automatic spee...
Contains fulltext : 75081.pdf (publisher's version ) (Open Access)This letter eval...
In spite of the effort and progress made during the last few decades, the performance of automatic s...
This letter evaluates potential benefits of combining human speech recognition ~HSR! and automatic s...
Computer speech recognition gains more and more attention these days with its implementation in near...
To advance research, it is important to identify promising future research directions, especially th...
abstract: Many tasks that humans do from day to day are taken for granted in term of appreciating th...
In this paper, we present a novel computational model of human speech recognition – called SpeM – ba...
This paper investigates the interaction between acoustic scores and symbolic mismatch penalties in m...
In this paper, we present a novel computational model of human speech recognition -- called SpeM -- ...
Item does not contain fulltextIn everyday life, speech is all around us, on the radio, television, a...
Item does not contain fulltextAlthough researchers studying human speech recognition (HSR) and autom...
Although researchers studying human speech recognition (HSR) and automatic speech recognition (ASR) ...
The fields of human speech recognition (HSR) and automatic speech recognition (ASR) both investigate...
Recently, a computational model of human word recognition, called SpeM, has been developed. In contr...
The central issues in the study of speech recognition by human listeners (HSR) and of automatic spee...
Contains fulltext : 75081.pdf (publisher's version ) (Open Access)This letter eval...
In spite of the effort and progress made during the last few decades, the performance of automatic s...
This letter evaluates potential benefits of combining human speech recognition ~HSR! and automatic s...
Computer speech recognition gains more and more attention these days with its implementation in near...
To advance research, it is important to identify promising future research directions, especially th...
abstract: Many tasks that humans do from day to day are taken for granted in term of appreciating th...
In this paper, we present a novel computational model of human speech recognition – called SpeM – ba...
This paper investigates the interaction between acoustic scores and symbolic mismatch penalties in m...
In this paper, we present a novel computational model of human speech recognition -- called SpeM -- ...