Search Results - "Mošner, Ladislav"

Speech-Based Emotion Recognition with Self-Supervised Models Using Attentive Channel-Wise Correlations and Label Smoothing by Kakouros, Sofoklis, Stafylakis, Themos, Mosner, Ladislav, Burget, Lukas

“…When recognizing emotions from speech, we encounter two common problems: how to optimally capture emotion-relevant information from the speech signal and how…”
Get full text

Improving Noise Robustness of Automatic Speech Recognition via Parallel Data and Teacher-student Learning by Mosner, Ladislav, Wu, Minhua, Raju, Anirudh, Krishnan Parthasarathi, Sree Hari, Kumatani, Kenichi, Sundaram, Shiva, Maas, Roland, Hoffmeister, Bjorn

“…For real-world speech recognition applications, noise robustness is still a challenge. In this work, we adopt the teacher-student (T/S) learning technique…”
Get full text

13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE by Matějka, Pavel, Plchot, Oldřich, Glembek, Ondřej, Burget, Lukáš, Rohdin, Johan, Zeinali, Hossein, Mošner, Ladislav, Silnova, Anna, Novotný, Ondřej, Diez, Mireia, “Honza” Černocký, Jan

“…•We present a “longitudinal study” of all important milestone techniques used in speaker recognition by evaluating on multiple NIST SREs.•We provide aa…”
Get full text

Multisv: Dataset for Far-Field Multi-Channel Speaker Verification by Mosner, Ladislav, Plchot, Oldrich, Burget, Lukas, Cernocky, Jan Honza

“…Motivated by unconsolidated data situation and the lack of a standard benchmark in the field, we complement our previous efforts and present a comprehensive…”
Get full text

Dereverberation and Beamforming in Far-Field Speaker Recognition by Mosner, Ladislav, Matejka, Pavel, Novotny, Ondrej, Cernocky, Jan Honza

“…This paper deals with far-field speaker recognition. On a corpus of NIST SRE 2010 data retransmitted in a real room with multiple microphones, we first…”
Get full text

Parameter-Efficient Transfer Learning of Pre-Trained Transformer Models for Speaker Verification Using Adapters by Peng, Junyi, Stafylakis, Themos, Gu, Rongzhi, Plchot, Oldrich, Mosner, Ladislav, Burget, Lukas, Cernocky, Jan

“…Recently, the pre-trained Transformer models have received a rising interest in the field of speech processing thanks to their great success in various…”
Get full text

Building and evaluation of a real room impulse response dataset by Szoke, Igor, Skacel, Miroslav, Mosner, Ladislav, Paliesek, Jakub, Cernocky, Jan

“…This paper presents BUT ReverbDB-a dataset of real room impulse responses (RIR), background noises, and retransmitted speech data. The retransmitted data…”
Get full text

State-of-the-art Embeddings with Video-free Segmentation of the Source VoxCeleb Data by Barahona, Sara, Mošner, Ladislav, Stafylakis, Themos, Plchot, Oldřich, Peng, Junyi, Burget, Lukáš, Černocký, Jan

“…In this paper, we refine and validate our method for training speaker embedding extractors using weak annotations. More specifically, we use only the audio…”
Get full text

CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification by Peng, Junyi, Mošner, Ladislav, Zhang, Lin, Plchot, Oldřich, Stafylakis, Themos, Burget, Lukáš, Černocký, Jan

“…Self-supervised learning (SSL) models for speaker verification (SV) have gained significant attention in recent years. However, existing SSL-based SV systems…”
Get full text

BUT CHiME-7 system description by Karafiát, Martin, Veselý, Karel, Szöke, Igor, Mošner, Ladislav, Beneš, Karel, Witkowski, Marcin, Barchi, Germán, Pepino, Leonardo

“…This paper describes the joint effort of Brno University of Technology (BUT), AGH University of Krakow and University of Buenos Aires on the development of…”
Get full text

MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification by Mošner, Ladislav, Plchot, Oldřich, Burget, Lukáš, Černocký, Jan

“…Motivated by unconsolidated data situation and the lack of a standard benchmark in the field, we complement our previous efforts and present a comprehensive…”
Get full text

Improving Speaker Verification with Self-Pretrained Transformer Models by Peng, Junyi, Plchot, Oldřich, Stafylakis, Themos, Mošner, Ladislav, Burget, Lukáš, Černocký, Jan

“…Recently, fine-tuning large pre-trained Transformer models using downstream datasets has received a rising interest. Despite their success, it is still…”
Get full text

Parameter-efficient transfer learning of pre-trained Transformer models for speaker verification using adapters by Peng, Junyi, Stafylakis, Themos, Gu, Rongzhi, Plchot, Oldřich, Mošner, Ladislav, Burget, Lukáš, Černocký, Jan

“…Recently, the pre-trained Transformer models have received a rising interest in the field of speech processing thanks to their great success in various…”
Get full text

Analysis of impact of emotions on target speech extraction and speech separation by Švec, Ján, Žmolíková, Kateřina, Kocour, Martin, Delcroix, Marc, Ochiai, Tsubasa, Mošner, Ladislav, Černocký, Jan

“…Recently, the performance of blind speech separation (BSS) and target speech extraction (TSE) has greatly progressed. Most works, however, focus on relatively…”
Get full text

Training Speaker Embedding Extractors Using Multi-Speaker Audio with Unknown Speaker Boundaries by Stafylakis, Themos, Mošner, Ladislav, Plchot, Oldřich, Rohdin, Johan, Silnova, Anna, Burget, Lukáš, Černocký, Jan "Honza''

“…In this paper, we demonstrate a method for training speaker embedding extractors using weak annotation. More specifically, we are using the full VoxCeleb…”
Get full text

Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings by Brümmer, Niko, Swart, Albert, Mošner, Ladislav, Silnova, Anna, Plchot, Oldřich, Stafylakis, Themos, Burget, Lukáš

“…In speaker recognition, where speech segments are mapped to embeddings on the unit hypersphere, two scoring backends are commonly used, namely cosine scoring…”
Get full text

Multi-Channel Speaker Verification with Conv-Tasnet Based Beamformer by Mosner, Ladislav, Plchot, Oldrich, Burget, Lukas, Cernocky, Jan Honza

“…We focus on the problem of speaker recognition in far-field multichannel data. The main contribution is introducing an alternative way of predicting spatial…”
Get full text

But System for the Second Dihard Speech Diarization Challenge by Landini, Federico, Wang, Shuai, Diez, Mireia, Burget, Lukas, Matejka, Pavel, Zmolikova, Katerina, Mosner, Ladislav, Silnova, Anna, Plchot, Oldrich, Novotny, Ondrej, Zeinali, Hossein, Rohdin, Johan

“…This paper describes the winning systems developed by the BUT team for the four tracks of the Second DIHARD Speech Diarization Challenge. For tracks 1 and 2…”
Get full text

BUT VOiCES 2019 System Description by Zeinali, Hossein, Matějka, Pavel, Mošner, Ladislav, Plchot, Oldřich, Silnova, Anna, Novotný, Ondřej, Profant, Ján, Glembek, Ondřej, Burget, Lukáš

“…This is a description of our effort in VOiCES 2019 Speaker Recognition challenge. All systems in the fixed condition are based on the x-vector paradigm with…”
Get full text

BUT System for the Second DIHARD Speech Diarization Challenge by Landini, Federico, Wang, Shuai, Diez, Mireia, Burget, Lukáš, Matějka, Pavel, Žmolíková, Kateřina, Mošner, Ladislav, Silnova, Anna, Plchot, Oldřich, Novotný, Ondřej, Zeinali, Hossein, Rohdin, Johan

“…This paper describes the winning systems developed by the BUT team for the four tracks of the Second DIHARD Speech Diarization Challenge. For tracks 1 and 2…”
Get full text