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- Daniele Falavigna
aka: Daniele Giuseppe Falavigna, Giuseppe Daniele Falavigna
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Publication search results
found 96 matches
- 2024
- Umberto Cappellazzo, Daniele Falavigna, Alessio Brutti:
Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of Adapters. CoRR abs/2402.00828 (2024) - Mohamed Nabih Ali, Alessio Brutti, Daniele Falavigna:
Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients. CoRR abs/2405.17376 (2024) - 2023
- Mohamed Nabih Ali, Alessio Brutti, Daniele Falavigna:
Direct enhancement of pre-trained speech embeddings for speech processing in noisy conditions. Comput. Speech Lang. 81: 101501 (2023) - Umberto Cappellazzo, Daniele Falavigna, Alessio Brutti:
An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding. INTERSPEECH 2023: 735-739 - Umberto Cappellazzo, Muqiao Yang, Daniele Falavigna, Alessio Brutti:
Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language Understanding. INTERSPEECH 2023: 2953-2957 - Mohamed Nabih Ali, Francesco Paissan, Daniele Falavigna, Alessio Brutti:
Scaling strategies for on-device low-complexity source separation with Conv-Tasnet. CoRR abs/2303.03005 (2023) - Mohamed Nabih Ali, Alessio Brutti, Daniele Falavigna:
Improving the Intent Classification accuracy in Noisy Environment. CoRR abs/2303.06585 (2023) - Umberto Cappellazzo, Muqiao Yang, Daniele Falavigna, Alessio Brutti:
Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language Understanding. CoRR abs/2305.13899 (2023) - George August Wright, Umberto Cappellazzo, Salah Zaiem, Desh Raj, Lucas Ondel Yang, Daniele Falavigna, Alessio Brutti:
Training dynamic models using early exits for automatic speech recognition on resource-constrained devices. CoRR abs/2309.09546 (2023) - Umberto Cappellazzo, Enrico Fini, Muqiao Yang, Daniele Falavigna, Alessio Brutti, Bhiksha Raj:
Continual Contrastive Spoken Language Understanding. CoRR abs/2310.02699 (2023) - 2022
- Mohamed Nabih Ali, Daniele Falavigna, Alessio Brutti:
Time-Domain Joint Training Strategies of Speech Enhancement and Intent Classification Neural Models. Sensors 22(1): 374 (2022) - Ephrem Tibebe Mekonnen, Alessio Brutti, Daniele Falavigna:
End-to-End Low Resource Keyword Spotting Through Character Recognition and Beam-Search Re-Scoring. ICASSP 2022: 8182-8186 - Mohamed Nabih Ali, Alessio Brutti, Daniele Falavigna:
Enhancing Embeddings for Speech Classification in Noisy Conditions. INTERSPEECH 2022: 2933-2937 - Umberto Cappellazzo, Daniele Falavigna, Alessio Brutti:
Exploring the Joint Use of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding. CoRR abs/2211.08161 (2022) - 2021
- Mohamed Nabih Ali, Veronica Juliana Schmalz, Alessio Brutti, Daniele Falavigna:
A Speech Enhancement Front-End for Intent Classification in Noisy Environments. EUSIPCO 2021: 471-475 - Roberto Gretter, Marco Matassoni, Daniele Falavigna, A. Misra, Chee Wee Leong, Kate Knill, Linlin Wang:
ETLT 2021: Shared Task on Automatic Speech Recognition for Non-Native Children's Speech. Interspeech 2021: 3845-3849 - Roberto Gretter, Marco Matassoni, Daniele Falavigna:
Seed Words Based Data Selection for Language Model Adaptation. ASLTRW@MTSummit 2021: 1-12 - Nina Hosseini-Kivanani, Roberto Gretter, Marco Matassoni, Giuseppe Daniele Falavigna:
Experiments of ASR-based mispronunciation detection for children and adult English learners. CoRR abs/2104.05980 (2021) - Sara Papi, Edmondo Trentin, Roberto Gretter, Marco Matassoni, Daniele Falavigna:
Mixtures of Deep Neural Experts for Automated Speech Scoring. CoRR abs/2106.12475 (2021) - Roberto Gretter, Marco Matassoni, Daniele Falavigna:
Seed Words Based Data Selection for Language Model Adaptation. CoRR abs/2107.09433 (2021) - 2020
- Mohamed Nabih Ali, Alessio Brutti, Daniele Falavigna:
Speech Enhancement Using Dilated Wave-U-Net: an Experimental Analysis. FRUCT 2020: 3-9 - Roberto Gretter, Marco Matassoni, Daniele Falavigna, Keelan Evanini, Chee Wee Leong:
Overview of the Interspeech TLT2020 Shared Task on ASR for Non-Native Children's Speech. INTERSPEECH 2020: 245-249 - Sara Papi, Edmondo Trentin, Roberto Gretter, Marco Matassoni, Daniele Falavigna:
Mixtures of Deep Neural Experts for Automated Speech Scoring. INTERSPEECH 2020: 3845-3849 - Roberto Gretter, Marco Matassoni, Stefano Bannò, Daniele Falavigna:
TLT-school: a Corpus of Non Native Children Speech. LREC 2020: 378-385 - Ornella Mich, Nadia Mana, Roberto Gretter, Marco Matassoni, Daniele Falavigna:
Automatically Assess Children's Reading Skills. READI@LREC 2020: 20-26 - Roberto Gretter, Marco Matassoni, Stefano Bannò, Daniele Falavigna:
TLT-school: a Corpus of Non Native Children Speech. CoRR abs/2001.08051 (2020) - 2019
- Roberto Gretter, Marco Matassoni, Katharina Allgaier, Svetlana Tchistiakova, Daniele Falavigna:
Automatic Assessment of Spoken Language Proficiency of Non-native Children. ICASSP 2019: 7435-7439 - Roberto Gretter, Marco Matassoni, Daniele Falavigna:
The FBK system for the 2019 Spoken CALL Shared Task. SLaTE 2019: 6-10 - Roberto Gretter, Katharina Allgaier, Svetlana Tchistiakova, Daniele Falavigna:
Automatic assessment of spoken language proficiency of non-native children. CoRR abs/1903.06409 (2019) - 2018
- Shahab Jalalvand, Matteo Negri, Daniele Falavigna, Marco Matassoni, Marco Turchi:
Automatic quality estimation for ASR system combination. Comput. Speech Lang. 47: 214-239 (2018)
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