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2020 – today
- 2024
[i3]Joseph Liu, Mahesh Kumar Nandwana, Janne Pylkkönen, Hannes Heikinheimo, Morgan McGuire:
Enhancing Multilingual Voice Toxicity Detection with Speech-Text Alignment. CoRR abs/2406.10325 (2024)- 2021
- [c13]Janne Pylkkönen, Antti Ukkonen
, Juho Kilpikoski, Samu Tamminen, Hannes Heikinheimo:
Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network. Interspeech 2021: 1882-1886 - [i2]Janne Pylkkönen, Antti Ukkonen, Juho Kilpikoski, Samu Tamminen, Hannes Heikinheimo:
Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network. CoRR abs/2104.11127 (2021)
2010 – 2019
- 2019
- [i1]Thomas Drugman, Janne Pylkkönen, Reinhard Kneser:
Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models. CoRR abs/1903.02852 (2019) - 2016
- [c12]Thomas Drugman, Janne Pylkkönen, Reinhard Kneser:
Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models. INTERSPEECH 2016: 2318-2322 - [c11]Janne Pylkkönen, Thomas Drugman, Max Bisani:
Optimizing Speech Recognition Evaluation Using Stratified Sampling. INTERSPEECH 2016: 3106-3110 - 2013
- [b1]Janne Pylkkönen:
Towards Efficient and Robust Automatic Speech Recognition: Decoding Techniques and Discriminative Training ; Kohti tehokasta ja häiriöitä sietävää automaattista puheentunnistusta: tekniikoita dekoodaukseen ja diskriminatiiviseen opetukseen. Aalto University, Helsinki, Finland, 2013 - 2012
- [j4]Janne Pylkkönen, Mikko Kurimo:
Analysis of Extended Baum-Welch and Constrained Optimization for Discriminative Training of HMMs. IEEE Trans. Speech Audio Process. 20(9): 2409-2419 (2012) - [c10]Janne Pylkkönen, Mikko Kurimo:
Improving Discriminative Training for Robust Acoustic Models in Large Vocabulary Continuous Speech Recognition. INTERSPEECH 2012: 1211-1214 - [c9]Janne Pylkkönen, Mikko Kurimo:
Optimization-Based Control for the Extended Baum-Welch Algorithm. INTERSPEECH 2012: 1808-1811
2000 – 2009
- 2009
- [j3]Teemu Hirsimäki, Janne Pylkkönen, Mikko Kurimo:
Importance of High-Order N-Gram Models in Morph-Based Speech Recognition. IEEE Trans. Speech Audio Process. 17(4): 724-732 (2009) - [c8]Janne Pylkkönen:
Investigations on discriminative training in large scale acoustic model estimation. INTERSPEECH 2009: 220-223 - 2007
- [j2]Mathias Creutz, Teemu Hirsimäki, Mikko Kurimo, Antti Puurula, Janne Pylkkönen, Vesa Siivola, Matti Varjokallio, Ebru Arisoy, Murat Saraclar, Andreas Stolcke:
Morph-based speech recognition and modeling of out-of-vocabulary words across languages. ACM Trans. Speech Lang. Process. 5(1): 3:1-3:29 (2007) - [c7]Ulpu Remes, Janne Pylkkönen, Mikko Kurimo:
Segregation of Speakers for Speaker Adaptation in TV News Audio. ICASSP (4) 2007: 481-484 - [c6]Janne Pylkkönen:
Estimating VTLN warping factors by distribution matching. INTERSPEECH 2007: 270-273 - [c5]Mathias Creutz, Teemu Hirsimäki, Mikko Kurimo, Antti Puurula, Janne Pylkkönen, Vesa Siivola, Matti Varjokallio, Ebru Arisoy, Murat Saraclar, Andreas Stolcke:
Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages. HLT-NAACL 2007: 380-387 - 2006
- [j1]Teemu Hirsimäki, Mathias Creutz, Vesa Siivola, Mikko Kurimo, Sami Virpioja, Janne Pylkkönen:
Unlimited vocabulary speech recognition with morph language models applied to Finnish. Comput. Speech Lang. 20(4): 515-541 (2006) - [c4]Janne Pylkkönen:
LDA based feature estimation methods for LVCSR. INTERSPEECH 2006 - [c3]Mikko Kurimo, Antti Puurula, Ebru Arisoy, Vesa Siivola, Teemu Hirsimäki, Janne Pylkkönen, Tanel Alumäe, Murat Saraclar:
Unlimited vocabulary speech recognition for agglutinative languages. HLT-NAACL 2006 - 2005
- [c2]Janne Pylkkönen:
New pruning criteria for efficient decoding. INTERSPEECH 2005: 581-584 - 2004
- [c1]Janne Pylkkönen, Mikko Kurimo:
Duration modeling techniques for continuous speech recognition. INTERSPEECH 2004: 385-388
Coauthor Index
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