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ORCIDDejan Porjazovski
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2020 – today
- 2024
[j2]Dejan Porjazovski
, Tamás Grósz, Mikko Kurimo:
From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3546-3560 (2024)- [c7]Mehedi Hasan Bijoy, Dejan Porjazovski, Nhan Phan, Guangpu Huang, Tamás Grósz, Mikko Kurimo:
Multimodal Humor Detection and Social Perception Prediction. MuSe@ACM Multimedia 2024: 60-64 - [i4]Dejan Porjazovski, Anssi Moisio, Mikko Kurimo:
Out-of-distribution generalisation in spoken language understanding. CoRR abs/2407.07425 (2024) - 2023
- [j1]Anssi Moisio, Dejan Porjazovski, Aku Rouhe, Yaroslav Getman, Anja Virkkunen, Ragheb Al-Ghezi, Mietta Lennes, Tamás Grósz, Krister Lindén, Mikko Kurimo:
Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks. Lang. Resour. Evaluation 57(3): 1295-1327 (2023) - [c6]Dejan Porjazovski, Tamás Grósz, Mikko Kurimo:
Topic Identification for Spontaneous Speech: Enriching Audio Features with Embedded Linguistic Information. EUSIPCO 2023: 396-400 - [c5]Dejan Porjazovski, Yaroslav Getman, Tamás Grósz, Mikko Kurimo:
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference. ACM Multimedia 2023: 9477-9481 - [c4]Tamás Grósz, Anja Virkkunen, Dejan Porjazovski, Mikko Kurimo:
Discovering Relevant Sub-spaces of BERT, Wav2Vec 2.0, ELECTRA and ViT Embeddings for Humor and Mimicked Emotion Recognition with Integrated Gradients. MuSe@ACM Multimedia 2023: 27-34 - [i3]Dejan Porjazovski, Tamás Grósz, Mikko Kurimo:
Topic Identification For Spontaneous Speech: Enriching Audio Features With Embedded Linguistic Information. CoRR abs/2307.11450 (2023) - [i2]Dejan Porjazovski, Yaroslav Getman, Tamás Grósz, Mikko Kurimo:
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference. CoRR abs/2310.10179 (2023) - 2022
- [c3]Tamás Grósz, Dejan Porjazovski, Yaroslav Getman, Sudarsana Reddy Kadiri, Mikko Kurimo:
Wav2vec2-based Paralinguistic Systems to Recognise Vocalised Emotions and Stuttering. ACM Multimedia 2022: 7026-7029 - [i1]Anssi Moisio, Dejan Porjazovski, Aku Rouhe, Yaroslav Getman, Anja Virkkunen, Tamás Grósz, Krister Lindén, Mikko Kurimo:
Lahjoita puhetta - a large-scale corpus of spoken Finnish with some benchmarks. CoRR abs/2203.12906 (2022) - 2021
- [c2]Dejan Porjazovski, Juho Leinonen, Mikko Kurimo:
Attention-Based End-to-End Named Entity Recognition from Speech. TDS 2021: 469-480 - 2020
- [c1]Dejan Porjazovski, Juho Leinonen, Mikko Kurimo:
Named Entity Recognition for Spoken Finnish. AI4TV@MM 2020: 25-29
Coauthor Index
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