Acoustic Models
Related Papers
A One Pass Decoder Design For Large Vocabulary Recognition
To achieve reasonable accuracy in large vocabulary speech recognition systems, it is important to use detailed acous- tic models together with good long span language models. For example, in the …...
Effective Utterance Classification with Unsupervised Phonotactic Models
This paper describes a method for utterance classification that does not require manual transcription of training data. The method combines domain independent acoustic models with off-the-shelf classifiers to give utterance …...
Automatic Detection of Well Recognized Words in Automatic Speech Transcriptions
AbstractThis work adresses the use of confidence measures for extracting well recognized words with very low error rate from automatically transcribed segments in a unsupervised way. We present and compare …...
Modeling Cantonese Pronunciation Variations for Large-Vocabulary Continuous Speech Recognition
This paper presents different methods of handling pronunciation variations in Cantonese large-vocabulary continuous speech recognition. In an LVCSR system, three knowledge sources are involved: a pronunciation lexicon, acoustic models and …...
Speech-Input Multi-Target Machine Translation
In order to simultaneously translate speech into multiple languages an extension of stochastic finite-state transducers is pro- posed. In this approach the speech trans- lation model consists of a single …...
Exploitation d’une marge de tolérance de classification pour améliorer l’apprentissage de modèles acoustiques de classes en reconnaissance de la parole (Exploitation of a classification tolerance margin for improving the estimation of class-based acoustic models for speech recognition) [in French]
_________________________________________________________________________________________________________ Exploitation of a classification tolerance margin for improving the estimation of class-based acoustic models for speech recognition This paper presents the...
The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech
AbstractCurrently available speech recognisers do not usually work well with elderly speech. This is because several characteristics of speech (e.g. fundamental frequency, jitter, shimmer and harmonic noise ratio) change with …...
The IFCASL Corpus of French and German Non-native and Native Read Speech
AbstractThe IFCASL corpus is a French-German bilingual phonetic learner corpus designed, recorded and annotated in a project on individualized feedback in computer-assisted spoken language learning. The motivation for setting up …...
Discovering Canonical Indian English Accents: A Crowdsourcing-based Approach
Automatic Speech Recognition (ASR) systems typically degrade in performance when recognizing an accent different from the accents in the training data. One way to overcome this problem without training new …...
The NiuTrans’s Submission to the IWSLT22 English-to-Chinese Offline Speech Translation Task
AbstractThis paper describes NiuTrans’s submission to the IWSLT22 English-to-Chinese (En-Zh) offline speech translation task. The end-to-end and bilingual system is built by constrained English and Chinese data and translates the …...