Search Results - "Zmolikova, Katerina"

SpeakerBeam: Speaker Aware Neural Network for Target Speaker Extraction in Speech Mixtures by Zmolikova, Katerina, Delcroix, Marc, Kinoshita, Keisuke, Ochiai, Tsubasa, Nakatani, Tomohiro, Burget, Lukas, Cernocky, Jan

“…The processing of speech corrupted by interfering overlapping speakers is one of the challenging problems with regards to today's automatic speech recognition…”
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Analysis and interpretation of joint source separation and sound event detection in domestic environments by de Benito-Gorrón, Diego, Zmolikova, Katerina, Toledano, Doroteo T

“…In recent years, the relation between Sound Event Detection (SED) and Source Separation (SSep) has received a growing interest, in particular, with the aim to…”
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Masked Spectrogram Prediction for Unsupervised Domain Adaptation in Speech Enhancement by Zmolikova, Katerina, Pedersen, Michael Syskind, Jensen, Jesper

“…Supervised learning-based speech enhancement methods often work remarkably well in acoustic situations represented in the training corpus but generalize poorly…”
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Single Channel Target Speaker Extraction and Recognition with Speaker Beam by Delcroix, Marc, Zmolikova, Katerina, Kinoshita, Keisuke, Ogawa, Atsunori, Nakatani, Tomohiro

“…This paper addresses the problem of single channel speech recognition of a target speaker in a mixture of speech signals. We propose to exploit auxiliary…”
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Improving Speaker Discrimination of Target Speech Extraction With Time-Domain Speakerbeam by Delcroix, Marc, Ochiai, Tsubasa, Zmolikova, Katerina, Kinoshita, Keisuke, Tawara, Naohiro, Nakatani, Tomohiro, Araki, Shoko

“…Target speech extraction, which extracts a single target source in a mixture given clues about the target speaker, has attracted increasing attention. We have…”
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Speaker Activity Driven Neural Speech Extraction by Delcroix, Marc, Zmolikova, Katerina, Ochiai, Tsubasa, Kinoshita, Keisuke, Nakatani, Tomohiro

“…Target speech extraction, which extracts the speech of a target speaker in a mixture given auxiliary speaker clues, has recently received increased interest…”
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Compact Network for Speakerbeam Target Speaker Extraction by Delcroix, Marc, Zmolikova, Katerina, Ochiai, Tsubasa, Kinoshita, Keisuke, Araki, Shoko, Nakatani, Tomohiro

“…Speech separation that separates a mixture of speech signals into each of its sources has been an active research topic for a long time and has seen recent…”
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Sequence summarizing neural network for speaker adaptation by Vesely, Karel, Watanabe, Shinji, Zmolikova, Katerina, Karafiat, Martin, Burget, Lukas, Cernocky, Jan Honza

“…In this paper, we propose a DNN adaptation technique, where the i-vector extractor is replaced by a Sequence Summarizing Neural Network (SSNN). Similarly to…”
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Jointly Trained Transformers Models for Spoken Language Translation by Vydana, Hari Krishna, Karafiat, Martin, Zmolikova, Katerina, Burget, Lukas, Cernocky, Honza

“…End-to-End and cascade (ASR-MT) spoken language translation (SLT) systems are reaching comparable performances, however, a large degradation is observed when…”
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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…”
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Optimization of Speaker-Aware Multichannel Speech Extraction with ASR Criterion by Zmolikova, Katerina, Delcroix, Marc, Kinoshita, Keisuke, Higuchi, Takuya, Nakatani, Tomohiro, Cernocky, Jan

“…This paper addresses the problem of recognizing speech corrupted by overlapping speakers in a multichannel setting. To extract a target speaker from the…”
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Textless Streaming Speech-to-Speech Translation using Semantic Speech Tokens by Zhao, Jinzheng, Moritz, Niko, Lakomkin, Egor, Xie, Ruiming, Xiu, Zhiping, Zmolikova, Katerina, Ahmed, Zeeshan, Gaur, Yashesh, Le, Duc, Fuegen, Christian

“…Cascaded speech-to-speech translation systems often suffer from the error accumulation problem and high latency, which is a result of cascaded modules whose…”
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Neural Target Speech Extraction: An Overview by Zmolikova, Katerina, Delcroix, Marc, Ochiai, Tsubasa, Kinoshita, Keisuke, Černocký, Jan, Yu, Dong

“…Humans can listen to a target speaker even in challenging acoustic conditions that have noise, reverberation, and interfering speakers. This phenomenon is…”
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Source Separation for Sound Event Detection in Domestic Environments using Jointly Trained Models by de Benito-Gorron, Diego, Zmolikova, Katerina, Toledano, Doroteo T.

“…Sound Event Detection and Source Separation are closely related tasks: whereas the first aims to find the time boundaries of acoustic events inside a…”
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Speaker activity driven neural speech extraction by Delcroix, Marc, Zmolikova, Katerina, Ochiai, Tsubasa, Kinoshita, Keisuke, Nakatani, Tomohiro

“…Target speech extraction, which extracts the speech of a target speaker in a mixture given auxiliary speaker clues, has recently received increased interest…”
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Listen only to me! How well can target speech extraction handle false alarms? by Delcroix, Marc, Kinoshita, Keisuke, Ochiai, Tsubasa, Zmolikova, Katerina, Sato, Hiroshi, Nakatani, Tomohiro

“…Target speech extraction (TSE) extracts the speech of a target speaker in a mixture given auxiliary clues characterizing the speaker, such as an enrollment…”
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Analysis of Impact of Emotions on Target Speech Extraction and Speech Separation by Svec, Jan, Zmolikova, Katerina, Kocour, Martin, Delcroix, Marc, Ochiai, Tsubasa, Mosner, Ladislav, Cernocky, Jan Honza

“…Recently, the performance of blind speech separation (BSS) and target speech extraction (TSE) has greatly progressed. Most works, however, focus on relatively…”
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Integration of Variational Autoencoder and Spatial Clustering for Adaptive Multi-Channel Neural Speech Separation by Zmolikova, Katerina, Delcroix, Marc, Burget, Lukas, Nakatani, Tomohiro, Cernocky, Jan Honza

“…In this paper, we propose a method combining variational autoencoder model of speech with a spatial clustering approach for multi-channel speech separation…”
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Integration of variational autoencoder and spatial clustering for adaptive multi-channel neural speech separation by Zmolikova, Katerina, Delcroix, Marc, Burget, Lukáš, Nakatani, Tomohiro, Černocký, Jan "Honza"

“…In this paper, we propose a method combining variational autoencoder model of speech with a spatial clustering approach for multi-channel speech separation…”
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Learning speaker representation for neural network based multichannel speaker extraction by Zmolikova, Katerina, Delcroix, Marc, Kinoshita, Keisuke, Higuchi, Takuya, Ogawa, Atsunori, Nakatani, Tomohiro

“…Recently, schemes employing deep neural networks (DNNs) for extracting speech from noisy observation have demonstrated great potential for noise robust…”
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