Add to ORKGThis paper investigates the interaction between acoustic scores and symbolic mismatch penalties in multi-pass speech decoding techniques that are based on the creation of a segment graph followed by a lexical search. The interaction between acoustic and symbolic mismatches determines to a large extent the structure of the search space of these multipass approaches. The background of this study is a recently developed computational model of human word recognition, called SpeM. SpeM is able to simulate human word recognition data and is built as a multi-pass speech decoder. Here, we focus on unravelling the structure of the search space that is used in SpeM and similar decoding strategies. Finally, we elaborate on the close relation between d...
There is now considerable evidence that fine-grained acoustic-phonetic detail in the speech signal h...
In speech recognition vast hypothesis spaces are generated, so the search methods used and their spe...
We have recently developed a new model of human speech recognition, based on automatic speech recogn...
This paper investigates the interaction between acoustic scores and symbolic mismatch penalties in m...
Recently, a computational model of human word recognition, called SpeM, has been developed. In contr...
This paper builds on previous work that aims at unraveling the structure of the speech signal by mea...
This paper builds on previous work aimed at unraveling the structure of the speech signal using prob...
In everyday life, speech is all around us, on the radio, television, and in human-human interaction....
The current version of the psycholinguistic model of human word recognition Shortlist suffers from t...
In this paper, we illustrate the close parallels between the research fields of human speech recogni...
In this paper, we present a novel computational model of human speech recognition – called SpeM – ba...
Humans are able to recognise a word before its acoustic realisation is complete. This in contrast to...
The current version of the psycholinguistic model of human word recognition Shortlist suffers from t...
Humans are able to recognise a word before its acoustic realisation is complete. This in contrast to...
Contains fulltext : 63849.pdf (author's version ) (Open Access)We have recently de...
There is now considerable evidence that fine-grained acoustic-phonetic detail in the speech signal h...
In speech recognition vast hypothesis spaces are generated, so the search methods used and their spe...
We have recently developed a new model of human speech recognition, based on automatic speech recogn...
This paper investigates the interaction between acoustic scores and symbolic mismatch penalties in m...
Recently, a computational model of human word recognition, called SpeM, has been developed. In contr...
This paper builds on previous work that aims at unraveling the structure of the speech signal by mea...
This paper builds on previous work aimed at unraveling the structure of the speech signal using prob...
In everyday life, speech is all around us, on the radio, television, and in human-human interaction....
The current version of the psycholinguistic model of human word recognition Shortlist suffers from t...
In this paper, we illustrate the close parallels between the research fields of human speech recogni...
In this paper, we present a novel computational model of human speech recognition – called SpeM – ba...
Humans are able to recognise a word before its acoustic realisation is complete. This in contrast to...
The current version of the psycholinguistic model of human word recognition Shortlist suffers from t...
Humans are able to recognise a word before its acoustic realisation is complete. This in contrast to...
Contains fulltext : 63849.pdf (author's version ) (Open Access)We have recently de...
There is now considerable evidence that fine-grained acoustic-phonetic detail in the speech signal h...
In speech recognition vast hypothesis spaces are generated, so the search methods used and their spe...
We have recently developed a new model of human speech recognition, based on automatic speech recogn...