Demo Data from VLDB 2026 / reviewers in the wild / expert
Sylvain de Langen
dblp:382/6741
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Speech recognition and synthesis · 91% Language models and text generation · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Speech recognition and synthesis
speaker recognition |
0.8 | 1 | 2024 | Open-Source Conversational AI with SpeechBrain 1.0 · J. Mach. Learn. Res. 2024 |
Natural language and speech › Speech recognition and synthesis
speech enhancement |
0.8 | 1 | 2024 | Open-Source Conversational AI with SpeechBrain 1.0 · J. Mach. Learn. Res. 2024 |
Natural language and speech › Language models and text generation › large language model
large language model integration |
0.2 | 1 | 2024 | Open-Source Conversational AI with SpeechBrain 1.0 · J. Mach. Learn. Res. 2024 |
Methods — techniques the papers use, named apart from their topics
pytorch · 0.8decoding strategies · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Open-Source Conversational AI with SpeechBrain 1.0abstractSpeechBrain is an open-source Conversational AI toolkit based on PyTorch, focused particularly on speech processing tasks such as speech recognition, speech enhancement, speaker recognition, text-to-speech, and much more. It promotes transparency and replicability by releasing both the pre-trained models and the complete recipes of code and algorithms required for training them. This paper presents SpeechBrain 1.0, a significant milestone in the evolution of the toolkit, which now has over 200 recipes for speech, audio, and language processing tasks, and more than 100 models available on Hugging Face. SpeechBrain 1.0 introduces new technologies to support diverse learning modalities, Large Language Model (LLM) integration, and advanced decoding strategies, along with novel models, tasks, and modalities. It also includes a new benchmark repository, offering researchers a unified platform for evaluating models across diverse tasks. Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen, Cem Subakan, Peter Plantinga, Yingzhi Wang 0002, Pooneh Mousavi, Luca Della Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Mohamed Salah Zaïem, Zeyu Zhao 0004, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Pierre Champion, Aku Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi, Andreas Nautsch, Xuechen Liu 0001, Sangeet Sagar, Jarod Duret, Salima Mdhaffar, Gaëlle Laperrière, Mickael Rouvier, Renato De Mori, Yannick Estève |
J. Mach. Learn. Res. | 4 |