An experimental environment for the generation and verification of word hypotheses in continuous speech. - Siegfried Kunzmann; Thomas Kuhn 002; Heinrich Niemann (Speech Commun., 1988)

Die Worterkennung in einem Dialogsystem für kontuierlich gesprochene Sprache. - Siegfried Kunzmann (Niemeyer, 1991)

Multimodal Output for a Conversational Telephony System. - Marion Mast; Carsten Günther; Siegfried Kunzmann; Thomas Ross (IEEE International Conference on Multimedia and Expo (I), 2000)

A data-driven methodology for the production of multilingual conversational systems. - Ossama Emam; Jorge Gonzalez; Carsten Günther; Eric Janke; Siegfried Kunzmann; Giulio Maltese; Claire Waast-Richard (INTERSPEECH, 2000)

Acoustic language model classes for a large vocabulary continuous speech recognizer. - Volker Fischer 002; Siegfried Kunzmann (INTERSPEECH, 2000)

SPEECON - Speech Data for Consumer Devices. - Rainer Siemund; Harald Höge; Siegfried Kunzmann; Krzysztof Marasek (LREC, 2000)

Likelihood combination and recognition output voting for the decoding of non-native speech with multilingual HMMs. - Volker Fischer 002; Eric Janke; Siegfried Kunzmann (INTERSPEECH, 2002)

Recent progress in the decoding of non-native speech with multilingual acoustic models. - Volker Fischer 002; Eric Janke; Siegfried Kunzmann (INTERSPEECH, 2003)

Multi-modal Voice Application Design in a Multi-client Environment. - Jozef Ivanecký; Markus Klehr; Volker Fischer 002; Siegfried Kunzmann (TSD, 2003)

Multilingual acoustic models for speech recognition and synthesis. - Siegfried Kunzmann; Volker Fischer 002; Jorge Gonzalez; Ossama Emam; Carsten Günther; Eric Janke (ICASSP (3), 2004)

Domain adaptation methods in the IBM trainable text-to-speech system. - Volker Fischer 002; Jaime Botella Ordinas; Siegfried Kunzmann (INTERSPEECH, 2004)

Multi-lingual and Multi-modal Speech Processing and Applications. - Jozef Ivanecký; Julia Fischer; Marion Mast; Siegfried Kunzmann; Thomas Ross; Volker Fischer 002 (DAGM-Symposium, 2005)

French-German Bilingual Acoustic Modeling for Embedded Voice Driven Applications. - Jozef Ivanecký; Volker Fischer 002; Siegfried Kunzmann (TSD, 2005)

From pre-recorded prompts to corporate voices: on the migration of interactive voice response applications. - Volker Fischer 002; Siegfried Kunzmann (INTERSPEECH, 2006)

Online Speaker Adaptation with Pre-Computed FMLLR Transformations. - Volker Fischer 002; Siegfried Kunzmann (INTERSPEECH, 2011)

Rank based Decoding for Improved DNN/HMM Hybrid Acoustic Models in the EML Transcription Platform. - Volker Fischer 002; Siegfried Kunzmann (ITG Symposium on Speech Communication, 2016)

Multilingual Grapheme-To-Phoneme Conversion with Byte Representation. - Mingzhi Yu; Hieu Duy Nguyen; Alex Sokolov; Jack Lepird; Kanthashree Mysore Sathyendra; Samridhi Choudhary; Athanasios Mouchtaris; Siegfried Kunzmann (ICASSP, 2020)

End-to-End Neural Transformer Based Spoken Language Understanding. - Martin Radfar; Athanasios Mouchtaris; Siegfried Kunzmann (INTERSPEECH, 2020)

Streaming End-to-End Bilingual ASR Systems with Joint Language Identification. - Surabhi Punjabi; Harish Arsikere; Zeynab Raeesy; Chander Chandak; Nikhil Bhave; Ankish Bansal; Markus Müller; Sergio Murillo; Ariya Rastrow; Sri Garimella; Roland Maas; Mat Hans; et al. (CoRR, 2020)

Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding. - Bhuvan Agrawal; Markus Müller; Martin Radfar; Samridhi Choudhary; Athanasios Mouchtaris; Siegfried Kunzmann (CoRR, 2020)

Context-Aware Transformer Transducer for Speech Recognition. - Feng-Ju Chang; Jing Liu; Martin Radfar; Athanasios Mouchtaris; Maurizio Omologo; Ariya Rastrow; Siegfried Kunzmann (ASRU, 2021)

In Pursuit of Babel - Multilingual End-to-End Spoken Language Understanding. - Markus Müller; Samridhi Choudhary; Clement Chung; Athanasios Mouchtaris; Siegfried Kunzmann (ASRU, 2021)

End-to-End Multi-Channel Transformer for Speech Recognition. - Feng-Ju Chang; Martin Radfar; Athanasios Mouchtaris; Brian John King; Siegfried Kunzmann (ICASSP, 2021)

Joint ASR and Language Identification Using RNN-T: An Efficient Approach to Dynamic Language Switching. - Surabhi Punjabi; Harish Arsikere; Zeynab Raeesy; Chander Chandak; Nikhil Bhave; Ankish Bansal; Markus Müller; Sergio Murillo; Ariya Rastrow; Andreas Stolcke; Jasha Droppo; Sri Garimella; et al. (ICASSP, 2021)

FANS: Fusing ASR and NLU for On-Device SLU. - Martin Radfar; Athanasios Mouchtaris; Siegfried Kunzmann; Ariya Rastrow (Interspeech, 2021)

Exploiting Large-Scale Teacher-Student Training for On-Device Acoustic Models. - Jing Liu; Rupak Vignesh Swaminathan; Sree Hari Krishnan Parthasarathi; Chunchuan Lyu; Athanasios Mouchtaris; Siegfried Kunzmann (TDS, 2021)

Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding. - Bhuvan Agrawal; Markus Müller; Samridhi Choudhary; Martin Radfar; Athanasios Mouchtaris; Ross McGowan; Nathan Susanj; Siegfried Kunzmann (ICASSP, 2022)

Caching Networks: Capitalizing on Common Speech for ASR. - Anastasios Alexandridis; Grant P. Strimel; Ariya Rastrow; Pavel Kveton; Jon Webb; Maurizio Omologo; Siegfried Kunzmann; Athanasios Mouchtaris (ICASSP, 2022)

Contextual Adapters for Personalized Speech Recognition in Neural Transducers. - Kanthashree Mysore Sathyendra; Thejaswi Muniyappa; Feng-Ju Chang; Jing Liu; Jinru Su; Grant P. Strimel; Athanasios Mouchtaris; Siegfried Kunzmann (ICASSP, 2022)

Parameter-Efficient Cross-Language Transfer Learning for a Language-Modular Audiovisual Speech Recognition. - Zhengyang Li; Thomas Graave; Jing Liu; Timo Lohrenz; Siegfried Kunzmann; Tim Fingscheidt (ASRU, 2023)

Multilingual End-To-End Spoken Language Understanding For Ultra-Low Footprint Applications. - Markus Müller; Anastasios Alexandridis; Zach Trozenski; Joel Whiteman; Grant P. Strimel; Nathan Susanj; Athanasios Mouchtaris; Siegfried Kunzmann (ICASSP, 2023)

Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition. - Saumya Y. Sahai; Jing Liu; Thejaswi Muniyappa; Kanthashree Mysore Sathyendra; Anastasios Alexandridis; Grant P. Strimel; Ross McGowan; Ariya Rastrow; Feng-Ju Chang; Athanasios Mouchtaris; Siegfried Kunzmann (ICASSP, 2023)

Quantization-aware and Tensor-compressed Training of Transformers for Natural Language Understanding. - Zi Yang; Samridhi Choudhary; Siegfried Kunzmann; Zheng Zhang (INTERSPEECH, 2023)

Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low-Resourced Languages. - Zhengyang Li; Patrick Blumenberg; Jing Liu; Thomas Graave; Timo Lohrenz; Siegfried Kunzmann; Tim Fingscheidt (INTERSPEECH, 2024)

CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization. - Zi Yang; Ziyue Liu; Samridhi Choudhary; Xinfeng Xie; Cao Gao; Siegfried Kunzmann; Zheng Zhang (NeurIPS, 2024)

CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization. - Zi Yang; Samridhi Choudhary; Xinfeng Xie; Cao Gao; Siegfried Kunzmann; Zheng Zhang (CoRR, 2024)

MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models. - Zhen Zhang; Yifan Yang; Kai Zhen; Nathan Susanj; Athanasios Mouchtaris; Siegfried Kunzmann; Zheng Zhang (CoRR, 2025)

Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models. - Ryan Solgi; Kai Zhen; Rupak Vignesh Swaminathan; Nathan Susanj; Athanasios Mouchtaris; Siegfried Kunzmann; Zheng Zhang 005 (CoRR, 2025)