Add to ORKGA novel approach to articulatory-acoustic feature extraction has been developed for enhancing the accuracy of classification associated with place and manner of articulation information. This elitist approach is tested on a corpus of spontaneous Dutch using two different systems, one trained on a subset of the same corpus, the other trained on a corpus from a different language (American English). The feature dimensions, voicing and manner of articulation transfer relatively well between the two languages. However, place information transfers less well. Manner-specific training can be used to improve classification of articulatory place information
One of the most important problems that needs tackling for wide deployment of Automatic Speech Recog...
Deep acoustic models represent linguistic information based on massive amounts of data. Unfortunatel...
Abstract copyright UK Data Service and data collection copyright owner.This project dealt with the p...
A novel approach to articulatory-acoustic feature extraction has been developed for enhancing the ac...
A novel framework for automatic articulatory-acoustic feature extraction has been developed for enha...
A novel framework for automatic articulatory-acoustic feature extraction has been developed for enha...
This paper describes ongoing research aiming at the description of variation in speech as represente...
The purpose of this study was to quantitatively contrast the articulatory settings of two Dutch dial...
Automatic speech recognition (ASR) does not perform equally well on every speaker. There is bias aga...
This paper discusses how the transcription hurdle in dialect corpus building can be cleared. While c...
We describe results on pitch accent placement in Dutch text obtained with a memory-based learning ap...
In spontaneous, conversational speech, words are often reduced compared to their citation forms, suc...
The present study introduces electromagnetic articulography, the measurement of the position of tong...
This paper presents the steps needed to make a corpus of Dutch spontaneous dialogues accessible for ...
How do Dutch and Korean listeners use acoustic–phonetic information when learning words in an artifi...
One of the most important problems that needs tackling for wide deployment of Automatic Speech Recog...
Deep acoustic models represent linguistic information based on massive amounts of data. Unfortunatel...
Abstract copyright UK Data Service and data collection copyright owner.This project dealt with the p...
A novel approach to articulatory-acoustic feature extraction has been developed for enhancing the ac...
A novel framework for automatic articulatory-acoustic feature extraction has been developed for enha...
A novel framework for automatic articulatory-acoustic feature extraction has been developed for enha...
This paper describes ongoing research aiming at the description of variation in speech as represente...
The purpose of this study was to quantitatively contrast the articulatory settings of two Dutch dial...
Automatic speech recognition (ASR) does not perform equally well on every speaker. There is bias aga...
This paper discusses how the transcription hurdle in dialect corpus building can be cleared. While c...
We describe results on pitch accent placement in Dutch text obtained with a memory-based learning ap...
In spontaneous, conversational speech, words are often reduced compared to their citation forms, suc...
The present study introduces electromagnetic articulography, the measurement of the position of tong...
This paper presents the steps needed to make a corpus of Dutch spontaneous dialogues accessible for ...
How do Dutch and Korean listeners use acoustic–phonetic information when learning words in an artifi...
One of the most important problems that needs tackling for wide deployment of Automatic Speech Recog...
Deep acoustic models represent linguistic information based on massive amounts of data. Unfortunatel...
Abstract copyright UK Data Service and data collection copyright owner.This project dealt with the p...