Slovak Speech Database for Experiments and Application Building in Unit-Selection Speech Synthesis. - Milan Rusko; Marián Trnka; Sachia Darzágín; Milos Cernak (TSD, 2004)

TTSBOX: a MATLAB toolbox for teaching text-to-speech synthesis. - Thierry Dutoit; Milos Cernak (ICASSP (5), 2005)

Diagnostics of speech recognition using classification phoneme diagnostic trees. - Milos Cernak; Christian Wellekens (Computational Intelligence, 2006)

Unit Selection Speech Synthesis in Noise. - Milos Cernak (ICASSP (1), 2006)

Diagnostics for Debugging Speech Recognition Systems. - Milos Cernak (TSD, 2010)

A Comparison of Decision Tree Classifiers for Automatic Diagnosis of Speech Recognition Errors. - Milos Cernak (Comput. Informatics, 2010)

Effective Triphone Mapping for Acoustic Modeling in Speech Recognition. - Sakhia Darjaa; Milos Cernak; Marián Trnka; Milan Rusko; Róbert Sabo (INTERSPEECH, 2011)

Rule-Based Triphone Mapping for Acoustic Modeling in Automatic Speech Recognition. - Sakhia Darjaa; Milos Cernak; Stefan Benus; Milan Rusko; Róbert Sabo; Marián Trnka (TSD, 2011)

Robust triphone mapping for acoustic modeling. - Milos Cernak; David Imseng; Hervé Bourlard (INTERSPEECH, 2012)

Reading companion: the technical and social design of an automated reading tutor. - Arthur Kantor; Milos Cernak; Jirí Havelka; Sean Huber; Jan Kleindienst; Doris B. Gonzalez (WOCCI, 2012)

Automatic Staging of Audio with Emotions. - Lakshmi Babu Saheer; Milos Cernak (ACII, 2013)

On the (UN)importance of the contextual factors in HMM-based speech synthesis and coding. - Milos Cernak; Petr Motlícek; Philip N. Garner (ICASSP, 2013)

Syllable-based pitch encoding for low bit rate speech coding with recognition/synthesis architecture. - Milos Cernak; Xingyu Na; Philip N. Garner (INTERSPEECH, 2013)

A Simple Continuous Pitch Estimation Algorithm. - Philip N. Garner; Milos Cernak; Petr Motlícek (IEEE Signal Process. Lett., 2013)

Stress and accent transmission in HMM-based syllable-context very low bit rate speech coding. - Milos Cernak; Alexandros Lazaridis; Philip N. Garner; Petr Motlícek (INTERSPEECH, 2014)

Development of bilingual ASR system for MediaParl corpus. - Petr Motlícek; David Imseng; Milos Cernak; Namhoon Kim (INTERSPEECH, 2014)

Phonological vocoding using artificial neural networks. - Milos Cernak; Blaise Potard; Philip N. Garner (ICASSP, 2015)

On compressibility of neural network phonological features for low bit rate speech coding. - Afsaneh Asaei; Milos Cernak; Hervé Bourlard (INTERSPEECH, 2015)

An empirical model of emphatic word detection. - Milos Cernak; Pierre-Edouard Honnet (INTERSPEECH, 2015)

Neuromorphic based oscillatory device for incremental syllable boundary detection. - Alexandre Hyafil; Milos Cernak (INTERSPEECH, 2015)

Automatic accentedness evaluation of non-native speech using phonetic and sub-phonetic posterior probabilities. - Ramya Rasipuram; Milos Cernak; Alexandre Nanchen; Mathew Magimai-Doss (INTERSPEECH, 2015)

Residual-Based Excitation with Continuous F0 Modeling in HMM-Based Speech Synthesis. - Tamás Gábor Csapó; Géza Németh; Milos Cernak (SLSP, 2015)

Incremental Syllable-Context Phonetic Vocoding. - Milos Cernak; Philip N. Garner; Alexandros Lazaridis; Petr Motlícek; Xingyu Na (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Modeling unvoiced sounds in statistical parametric speech synthesis with a continuous vocoder. - Tamás Gábor Csapó; Géza Németh; Milos Cernak; Philip N. Garner (EUSIPCO, 2016)

Phonetic and Phonological Posterior Search Space Hashing Exploiting Class-Specific Sparsity Structures. - Afsaneh Asaei; Gil Luyet; Milos Cernak; Hervé Bourlard (INTERSPEECH, 2016)

Sound Pattern Matching for Automatic Prosodic Event Detection. - Milos Cernak; Afsaneh Asaei; Pierre-Edouard Honnet; Philip N. Garner; Hervé Bourlard (INTERSPEECH, 2016)

PhonVoc: A Phonetic and Phonological Vocoding Toolkit. - Milos Cernak; Philip N. Garner (INTERSPEECH, 2016)

Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody. - Alexandros Lazaridis; Milos Cernak; Philip N. Garner (INTERSPEECH, 2016)

HMM-Based Non-Native Accent Assessment Using Posterior Features. - Ramya Rasipuram; Milos Cernak; Mathew Magimai-Doss (INTERSPEECH, 2016)

Investigating Spectral Amplitude Modulation Phase Hierarchy Features in Speech Synthesis. - Alexandros Lazaridis; Milos Cernak; Pierre-Edouard Honnet; Philip N. Garner (SSW, 2016)

An Analysis of Rhythmic Staccato-Vocalization Based on Frequency Demodulation for Laughter Detection in Conversational Meetings. - Sucheta Ghosh; Milos Cernak; Sarbani Palit; B. B. Chaudhuri 001 (CoRR, 2016)

On structured sparsity of phonological posteriors for linguistic parsing. - Milos Cernak; Afsaneh Asaei; Hervé Bourlard (Speech Commun., 2016)

Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding. - Milos Cernak; Alexandros Lazaridis; Afsaneh Asaei; Philip N. Garner (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

On the impact of non-modal phonation on phonological features. - Milos Cernak; Elmar Nöth; Frank Rudzicz; Heidi Christensen; Juan Rafael Orozco-Arroyave; Raman Arora; Tobias Bocklet; Hamidreza Chinaei; Julius Hannink; Phani Sankar Nidadavolu; Juan Camilo Vásquez-Correa; Maria Yancheva; et al. (ICASSP, 2017)

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. - Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Raman Arora; Elmar Nöth; Najim Dehak; Heidi Christensen; Frank Rudzicz; Tobias Bocklet; Milos Cernak; Hamid R. Chinaei; Julius Hannink; Phani Sankar Nidadavolu; et al. (ICASSP, 2017)

Bob Speaks Kaldi. - Milos Cernak; Alain Komaty; Amir Mohammadi; André Anjos; Sébastien Marcel (INTERSPEECH, 2017)

Speech vocoding for laboratory phonology. - Milos Cernak; Stefan Benus; Alexandros Lazaridis (Comput. Speech Lang., 2017)

Characterisation of voice quality of Parkinson's disease using differential phonological posterior features. - Milos Cernak; Juan Rafael Orozco-Arroyave; Frank Rudzicz; Heidi Christensen; Juan Camilo Vásquez-Correa; Elmar Nöth (Comput. Speech Lang., 2017)

Perceptual Information Loss due to Impaired Speech Production. - Afsaneh Asaei; Milos Cernak; Hervé Bourlard (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Nasal Speech Sounds Detection Using Connectionist Temporal Classification. - Milos Cernak; Sibo Tong (ICASSP, 2018)

Phonological i-Vectors to Detect Parkinson's Disease. - Nicanor García-Ospina; Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Milos Cernak; Elmar Nöth (TSD, 2018)

Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson's Disease. - Juan Camilo Vásquez-Correa; Nicanor García-Ospina; Juan Rafael Orozco-Arroyave; Milos Cernak; Elmar Nöth (TSD, 2018)

NeuroSpeech: An open-source software for Parkinson's speech analysis. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (Digit. Signal Process., 2018)

NeuroSpeech. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (SoftwareX, 2018)

Cognitive Speech Coding: Examining the Impact of Cognitive Speech Processing on Speech Compression. - Milos Cernak; Afsaneh Asaei; Alexandre Hyafil (IEEE Signal Process. Mag., 2018)

Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users. - Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave; Milos Cernak; Sandra Gollwitzer; Maria Schuster; Elmar Nöth (INTERSPEECH, 2019)

Evaluating Audiovisual Source Separation in the Context of Video Conferencing. - Berkay Inan; Milos Cernak; Helmut Grabner; Helena Peic Tukuljac; Rodrigo C. G. Pena; Benjamin Ricaud (INTERSPEECH, 2019)

Open-Vocabulary Keyword Spotting with Audio and Text Embeddings. - Niccolò Sacchi; Alexandre Nanchen; Martin Jaggi; Milos Cernak (INTERSPEECH, 2019)

End-to-End Accented Speech Recognition. - Thibault Viglino; Petr Motlícek; Milos Cernak (INTERSPEECH, 2019)

Speech-VGG: A deep feature extractor for speech processing. - Pierre Beckmann; Mikolaj Kegler; Hugues Saltini; Milos Cernak (CoRR, 2019)

Voice Presentation Attack Detection Using Convolutional Neural Networks. - Ivan Himawan; Srikanth R. Madikeri; Petr Motlícek; Milos Cernak; Sridha Sridharan; Clinton Fookes (Handbook of Biometric Anti-Spoofing, 2nd Ed., 2019)

FastVC: Fast Voice Conversion with non-parallel data. - Oriol Barbany Mayor; Milos Cernak (Blizzard Challenge / Voice Conversion Challenge, 2020)

A Bin Encoding Training of a Spiking Neural Network Based Voice Activity Detection. - Giorgia Dellaferrera; Flavio Martinelli; Milos Cernak (ICASSP, 2020)

Spiking Neural Networks Trained With Backpropagation for Low Power Neuromorphic Implementation of Voice Activity Detection. - Flavio Martinelli; Giorgia Dellaferrera; Pablo Mainar; Milos Cernak (ICASSP, 2020)

Deep Speech Inpainting of Time-Frequency Masks. - Mikolaj Kegler; Pierre Beckmann; Milos Cernak (INTERSPEECH, 2020)

Joint Blind Room Acoustic Characterization From Speech And Music Signals Using Convolutional Recurrent Neural Networks. - Paul Callens; Milos Cernak (CoRR, 2020)

AC-VC: Non-Parallel Low Latency Phonetic Posteriorgrams Based Voice Conversion. - Damien Ronssin; Milos Cernak (ASRU, 2021)

Word-Level Embeddings for Cross-Task Transfer Learning in Speech Processing. - Pierre Beckmann; Mikolaj Kegler; Milos Cernak (EUSIPCO, 2021)

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping. - Gasser Elbanna; Neil Scheidwasser-Clow; Mikolaj Kegler; Pierre Beckmann; Karl El Hajal; Milos Cernak (HEAR@NeurIPS, 2021)

Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-Specific Scaling. - Natalia Nessler; Milos Cernak; Paolo Prandoni; Pablo Mainar (Interspeech, 2021)

A Universal Deep Room Acoustics Estimator. - Paula Sánchez López; Paul Callens; Milos Cernak (WASPAA, 2021)

Power efficient analog features for audio recognition. - Boris Bergsma; Minhao Yang; Milos Cernak (CoRR, 2021)

SERAB: A Multi-Lingual Benchmark for Speech Emotion Recognition. - Neil Scheidwasser-Clow; Mikolaj Kegler; Pierre Beckmann; Milos Cernak (ICASSP, 2022)

PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition. - Boris Bergsma; Minhao Yang; Milos Cernak (INTERSPEECH, 2022)

Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load. - Gasser Elbanna; Alice Biryukov; Neil Scheidwasser-Clow; Lara Orlandic; Pablo Mainar; Mikolaj Kegler; Pierre Beckmann; Milos Cernak (INTERSPEECH, 2022)

MOSRA: Joint Mean Opinion Score and Room Acoustics Speech Quality Assessment. - Karl El Hajal; Milos Cernak; Pablo Mainar (INTERSPEECH, 2022)

Application for Real-time Personalized Speaker Extraction. - Damien Ronssin; Milos Cernak (INTERSPEECH, 2022)

Fast accuracy estimation of deep learning based multi-class musical source separation. - Alexandru Mocanu; Benjamin Ricaud; Milos Cernak (NLDL, 2022)

BC-VAD: A Robust Bone Conduction Voice Activity Detection. - Niccolò Polvani; Damien Ronssin; Milos Cernak (CoRR, 2022)

Efficient Speech Quality Assessment Using Self-Supervised Framewise Embeddings. - Karl El Hajal; Zihan Wu 009; Neil Scheidwasser-Clow; Gasser Elbanna; Milos Cernak (ICASSP, 2023)

Personalized Task Load Prediction in Speech Communication. - Robert P. Spang; Karl El Hajal; Sebastian Möller 001; Milos Cernak (ICASSP, 2023)

Speaker Embeddings as Individuality Proxy for Voice Stress Detection. - Zihan Wu 009; Neil Scheidwasser-Clow; Karl El Hajal; Milos Cernak (INTERSPEECH, 2023)

ALO-VC: Any-to-any Low-latency One-shot Voice Conversion. - Bohan Wang; Damien Ronssin; Milos Cernak (INTERSPEECH, 2023)

In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. - Philipp Schilk; Niccolò Polvani; Andrea Ronco; Milos Cernak; Michele Magno (IoTDI, 2023)

Demo Abstract: In-Ear-Voice - Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. - Philipp Schilk; Niccolò Polvani; Andrea Ronco; Milos Cernak; Michele Magno (IoTDI, 2023)

Cluster-based pruning techniques for audio data. - Boris Bergsma; Marta Brzezinska; Oleg V. Yazyev; Milos Cernak (CoRR, 2023)

Multi-Channel Mosra: Mean Opinion Score and Room Acoustics Estimation Using Simulated Data and A Teacher Model. - Jozef Coldenhoff; Andrew Harper; Paul Kendrick; Tijana Stojkovic; Milos Cernak (ICASSP, 2024)

On Real-Time Multi-Stage Speech Enhancement Systems. - Lingjun Meng; Jozef Coldenhoff; Paul Kendrick; Tijana Stojkovic; Andrew Harper; Kiril Ratmanski; Milos Cernak (ICASSP, 2024)

Diffusion-based Speech Enhancement with Schrödinger Bridge and Symmetric Noise Schedule. - Siyi Wang; Siyi Liu; Andrew Harper; Paul Kendrick; Mathieu Salzmann; Milos Cernak (CoRR, 2024)

Semi-intrusive audio evaluation: Casting non-intrusive assessment as a multi-modal text prediction task. - Jozef Coldenhoff; Milos Cernak (ICASSP, 2025)

OpenACE: An Open Benchmark for Evaluating Audio Coding Performance. - Jozef Coldenhoff; Niclas Granqvist; Milos Cernak (ICASSP, 2025)

Model as Loss: A Self-Consistent Training Paradigm. - Saisamarth Rajesh Phaye; Milos Cernak; Andrew Harper (CoRR, 2025)

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration. - Sanberk Serbest; Tijana Stojkovic; Milos Cernak; Andrew Harper (CoRR, 2025)