• A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurity 

      Adiban, Mohammad; Siniscalchi, Sabato Marco; Salvi, Giampiero (Peer reviewed; Journal article, 2023)
      Cyber attacks and anomaly detection are problems where the data is often highly unbalanced towards normal observations. Furthermore, the anomalies observed in real applications may be significantly different from the ones ...
    • Transfer learning of articulatory information through phone information. 

      Sabzi Shahrebabaki, Abdolreza; Olfati, Negar; Siniscalchi, Sabato Marco; Salvi, Giampiero; Svendsen, Torbjørn Karl (Journal article; Peer reviewed, 2020)
      Articulatory information has been argued to be useful for several speech tasks. However, in most practical scenarios this information is not readily available. We propose a novel transfer learning framework to obtain ...
    • wav2vec2-based Speech Rating System for Children with Speech Sound Disorder 

      Gertman, Yaroslav; Al-Ghezi, Ragheb; Voskoboinik, Ekaterina; Grósz, Tamás; Kurimo, Mikko; Salvi, Giampiero; Svendsen, Torbjørn Karl; Strömbergsson, Sofia (Peer reviewed; Journal article, 2022)
      Speaking is a fundamental way of communication, developed at a young age. Unfortunately, some children with speech sound disorder struggle to acquire this skill, hindering their ability to communicate efficiently. Speech ...
    • Word Discovery from Unsegmented Speech 

      Aune, Astrid (Master thesis, 2020)
      Hensikten til denne oppgaven er å finne ord i sammenhengende tale ved hjelp av ikke-veiledet maskinlæring. Det ble testet med to metoder av latent faktoranalyse; Non-Negative Matrix Factorization (NNMF) og Beta Process ...