Add to ORKGVowel classification models trained on production data typically have higher correlation with human listeners’ perception when the acoustic properties of the production data are normalised prior to training and testing. Vowe
In this paper we present preliminary results of speaker normalization procedures that were tested wi...
The interpretation of vowel sounds depends on perceived characteristics of the speaker (e.g., averag...
In this study we compare human ability to identify vowels with a machine learning approach. A percep...
An evaluation of vowel normalization procedures for the purpose of studying language variation is pr...
Vowel normalization in speech perception was investigated in three experiments. The range of the sec...
Contains fulltext : 99372.pdf (Publisher’s version ) (Open Access)Radboud Universi...
Intrinsic and extrinsic speaker normalization methods are systematically compared using a neural net...
Using a known speaker-intrinsic normalization procedure, formant data are scaled by the reciprocal o...
Extended research has established the fact that it is difficult, if not impossible, to conduct a dir...
Listeners tune in to talkers' vowels through extrinsic normalization. We asked here whether this pro...
Three experiments investigated whether extrinsic vowel normalization takes place largely at a catego...
Studies involving human infants and monkeys suggest that experience plays a critical role in modifyi...
A procedure that uses fuzzy ARTMAP and K-Nearest Neighbor (K-NN) categorizers to evaluate intrinsic ...
This study assessed the influence of language background in speech normalization by examining non-na...
Listeners adjust their vowel perception to the characteristics of a particular speaker. Six experime...
In this paper we present preliminary results of speaker normalization procedures that were tested wi...
The interpretation of vowel sounds depends on perceived characteristics of the speaker (e.g., averag...
In this study we compare human ability to identify vowels with a machine learning approach. A percep...
An evaluation of vowel normalization procedures for the purpose of studying language variation is pr...
Vowel normalization in speech perception was investigated in three experiments. The range of the sec...
Contains fulltext : 99372.pdf (Publisher’s version ) (Open Access)Radboud Universi...
Intrinsic and extrinsic speaker normalization methods are systematically compared using a neural net...
Using a known speaker-intrinsic normalization procedure, formant data are scaled by the reciprocal o...
Extended research has established the fact that it is difficult, if not impossible, to conduct a dir...
Listeners tune in to talkers' vowels through extrinsic normalization. We asked here whether this pro...
Three experiments investigated whether extrinsic vowel normalization takes place largely at a catego...
Studies involving human infants and monkeys suggest that experience plays a critical role in modifyi...
A procedure that uses fuzzy ARTMAP and K-Nearest Neighbor (K-NN) categorizers to evaluate intrinsic ...
This study assessed the influence of language background in speech normalization by examining non-na...
Listeners adjust their vowel perception to the characteristics of a particular speaker. Six experime...
In this paper we present preliminary results of speaker normalization procedures that were tested wi...
The interpretation of vowel sounds depends on perceived characteristics of the speaker (e.g., averag...
In this study we compare human ability to identify vowels with a machine learning approach. A percep...