Publications

Group highlights

(For a full list see below)

Semantically Meaningful Metrics for Norwegian ASR Systems

We propose a new semantically meaninful metric based on BERT and dynamic programming for ASR evaluation.

Janine Rugayan, Torbjørn Svendsen, Giampiero Salvi

10.21437/Interspeech.2022-817 (2022)

BERT Attends the Conversation: Improving Low-Resource Conversational ASR

We propose new, data-efficient training tasks for BERT models that improve performance of automatic speech recognition (ASR) systems on conversational speech.

Pablo Ortiz, Simen Burud

arXiv:2110.02267 (2021)

Acoustic-to-Articulatory Mapping with Joint Optimization of Deep Speech Enhancement and Articulatory Inversion Models

We investigate the problem of speaker independent acoustic-to-articulatory inversion (AAI) in noisy conditions within the deep neural network (DNN) framework.

Abdolreza Sabzishahrebabaki, Giampiero Salvi, Torbjørn Karl Svendsen, Sabato Marco Siniscalchi

10.1109/TASLP.2021.3133218

The Norwegian Parliamentary Speech Corpus

The Norwegian Parliamentary Speech Corpus (NPSC) is the first, publicly available dataset containing unscripted, Norwegian speech designed for training of automatic speech recognition (ASR) systems. The NPSC-trained system performed significantly better, with a 22.9% relative improvement in word error rate (WER) and a “democratizing” effect in terms of dialects.

Per Erik Solberg, Pablo Ortiz

arXiv:2201.10881 (2022) (to appear in Proceedings of LREC2022)

 

Full List

Semantically Meaningful Metrics for Norwegian ASR Systems
Janine Rugayan, Torbjørn Svendsen, Giampiero Salvi
10.21437/Interspeech.2022-817 (2022)

BERT Attends the Conversation: Improving Low-Resource Conversational ASR
Pablo Ortiz, Simen Burud
arXiv:2110.02267 (2021)

Acoustic-to-Articulatory Mapping with Joint Optimization of Deep Speech Enhancement and Articulatory Inversion Models
Abdolreza Sabzishahrebabaki, Giampiero Salvi, Torbjørn Karl Svendsen, Sabato Marco Siniscalchi
10.1109/TASLP.2021.3133218

The Norwegian Parliamentary Speech Corpus
Per Erik Solberg, Pablo Ortiz
arXiv:2201.10881 (2022) (to appear in Proceedings of LREC2022)