1 citations · 2 across the 4 of their papers we have counts for
4 papers
Assessing the Impact of Anisotropy in Neural Representations of Speech: A Case Study on Keyword Spotting
Guillaume Wisniewski, Séverine Guillaume, Clara Rosina Fernández
Pretrained speech representations like wav2vec2 and HuBERT exhibit strong anisotropy, leading to high similarity between random embeddings. While widely observed, the impact of thi…
Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models
Maxime Fily, Guillaume Wisniewski, Severine Guillaume +2
In the highly constrained context of low-resource language studies, we explore vector representations of speech from a pretrained model to determine their level of abstraction with…
From `Snippet-lects' to Doculects and Dialects: Leveraging Neural Representations of Speech for Placing Audio Signals in a Language Landscape
Séverine Guillaume, Guillaume Wisniewski, Alexis Michaud
XLSR-53 a multilingual model of speech, builds a vector representation from audio, which allows for a range of computational treatments. The experiments reported here use this neur…
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
Oliver Adams, Benjamin Galliot, Guillaume Wisniewski +11
This paper reports on progress integrating the speech recognition toolkit ESPnet into Elpis, a web front-end originally designed to provide access to the Kaldi automatic speech rec…