57 citations · 58 across the 7 of their papers we have counts for
8 papers
A Toolkit for Joint Speaker Diarization and Identification with Application to Speaker-Attributed ASR
Giovanni Morrone, Enrico Zovato, Fabio Brugnara +2
We present a modular toolkit to perform joint speaker diarization and speaker identification. The toolkit can leverage on multiple models and algorithms which are defined in a conf…
Exploring Spoken Language Identification Strategies for Automatic Transcription of Multilingual Broadcast and Institutional Speech
Martina Valente, Fabio Brugnara, Giovanni Morrone +2
This paper addresses spoken language identification (SLI) and speech recognition of multilingual broadcast and institutional speech, real application scenarios that have been rarel…
Interpretable Dysarthric Speaker Adaptation based on Optimal-Transport
Rosanna Turrisi, Leonardo Badino
This work addresses the mismatch problem between the distribution of training data (source) and testing data (target), in the challenging context of dysarthric speech recognition.…
EasyCall corpus: a dysarthric speech dataset
Rosanna Turrisi, Arianna Braccia, Marco Emanuele +5
This paper introduces a new dysarthric speech command dataset in Italian, called EasyCall corpus. The dataset consists of 21386 audio recordings from 24 healthy and 31 dysarthric s…
Optimal Transport-based Adaptation in Dysarthric Speech Tasks
Rosanna Turrisi, Leonardo Badino
In many real-world applications, the mismatch between distributions of training data (source) and test data (target) significantly degrades the performance of machine learning algo…
Audio-Visual Target Speaker Enhancement on Multi-Talker Environment using Event-Driven Cameras
Ander Arriandiaga, Giovanni Morrone, Luca Pasa +2
We propose a method to address audio-visual target speaker enhancement in multi-talker environments using event-driven cameras. State of the art audio-visual speech separation meth…
An Analysis of Speech Enhancement and Recognition Losses in Limited Resources Multi-talker Single Channel Audio-Visual ASR
Luca Pasa, Giovanni Morrone, Leonardo Badino
In this paper, we analyzed how audio-visual speech enhancement can help to perform the ASR task in a cocktail party scenario. Therefore we considered two simple end-to-end LSTM-bas…
Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments
Giovanni Morrone, Luca Pasa, Vadim Tikhanoff +3
In this paper, we address the problem of enhancing the speech of a speaker of interest in a cocktail party scenario when visual information of the speaker of interest is available.…