Search Results - "Porjazovski, Dejan"

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  1. 1

    From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques by Porjazovski, Dejan, Grosz, Tamas, Kurimo, Mikko

    “…Speech embeddings, fixed-size representations derived from raw audio data, play a crucial role in diverse machine learning applications. Despite the abundance…”
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    Journal Article
  2. 2

    Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks by Moisio, Anssi, Porjazovski, Dejan, Rouhe, Aku, Getman, Yaroslav, Virkkunen, Anja, AlGhezi, Ragheb, Lennes, Mietta, Grósz, Tamás, Lindén, Krister, Kurimo, Mikko

    Published in Language resources and evaluation (01-09-2023)
    “…The Donate Speech campaign has so far succeeded in gathering approximately 3600 h of ordinary, colloquial Finnish speech into the Lahjoita puhetta ( Donate…”
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    Journal Article
  3. 3

    Out-of-distribution generalisation in spoken language understanding by Porjazovski, Dejan, Moisio, Anssi, Kurimo, Mikko

    Published 10-07-2024
    “…Test data is said to be out-of-distribution (OOD) when it unexpectedly differs from the training data, a common challenge in real-world use cases of machine…”
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    Journal Article
  4. 4

    Topic Identification For Spontaneous Speech: Enriching Audio Features With Embedded Linguistic Information by Porjazovski, Dejan, Grósz, Tamás, Kurimo, Mikko

    Published 21-07-2023
    “…Traditional topic identification solutions from audio rely on an automatic speech recognition system (ASR) to produce transcripts used as input to a text-based…”
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    Journal Article
  5. 5

    Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference by Porjazovski, Dejan, Getman, Yaroslav, Grósz, Tamás, Kurimo, Mikko

    Published 16-10-2023
    “…Large pre-trained models are essential in paralinguistic systems, demonstrating effectiveness in tasks like emotion recognition and stuttering detection. In…”
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    Journal Article
  6. 6

    Topic Identification for Spontaneous Speech: Enriching Audio Features with Embedded Linguistic Information by Porjazovski, Dejan, Grosz, Tamas, Kurimo, Mikko

    “…Traditional topic identification solutions from audio rely on an automatic speech recognition system (ASR) to produce transcripts used as input to a text-based…”
    Get full text
    Conference Proceeding
  7. 7

    Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks by Moisio, Anssi, Porjazovski, Dejan, Rouhe, Aku, Getman, Yaroslav, Virkkunen, Anja, Grósz, Tamás, Lindén, Krister, Kurimo, Mikko

    Published 24-03-2022
    “…The Donate Speech campaign has so far succeeded in gathering approximately 3600 hours of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate…”
    Get full text
    Journal Article