514 citations · 521 across the 7 of their papers we have counts for
7 papers
Open-Source Conversational AI with SpeechBrain 1.0
Mirco Ravanelli, Titouan Parcollet, Adel Moumen +30
SpeechBrain is an open-source Conversational AI toolkit based on PyTorch, focused particularly on speech processing tasks such as speech recognition, speech enhancement, speaker re…
Finnish Parliament ASR corpus - Analysis, benchmarks and statistics
Anja Virkkunen, Aku Rouhe, Nhan Phan +1
Public sources like parliament meeting recordings and transcripts provide ever-growing material for the training and evaluation of automatic speech recognition (ASR) systems. In th…
Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks
Anssi Moisio, Dejan Porjazovski, Aku Rouhe +5
The Donate Speech campaign has so far succeeded in gathering approximately 3600 hours of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The c…
SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli, Titouan Parcollet, Peter Plantinga +18
SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to facilitate the research and development of neural speech processing technologies by being simple, fle…
Finnish Language Modeling with Deep Transformer Models
Abhilash Jain, Aku Ruohe, Stig-Arne Grönroos +1
Transformers have recently taken the center stage in language modeling after LSTM's were considered the dominant model architecture for a long time. In this project, we investigate…
Multimodal Machine Translation through Visuals and Speech
Umut Sulubacak, Ozan Caglayan, Stig-Arne Grönroos +4
Multimodal machine translation involves drawing information from more than one modality, based on the assumption that the additional modalities will contain useful alternative view…
The MeMAD Submission to the IWSLT 2018 Speech Translation Task
Umut Sulubacak, Jörg Tiedemann, Aku Rouhe +2
This paper describes the MeMAD project entry to the IWSLT Speech Translation Shared Task, addressing the translation of English audio into German text. Between the pipeline and end…