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Aleksej Chinaev
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2020 – today
- 2024
- [c22]Aleksej Chinaev, Till Spitz, Stefan Thaleiser, Gerald Enzner:
Matrix Study of Feature Compression Types and Instrumental Speech Quality Metrics in Ultra-Light DNN-Based Spectral Speech Enhancement. IWAENC 2024: 11-15 - 2023
- [j2]Aleksej Chinaev
, Niklas Knaepper
Online distributed waveform-synchronization for acoustic sensor networks with dynamic topology. EURASIP J. Audio Speech Music. Process. 2023(1): 55 (2023) - [c21]Aleksej Chinaev, Niklas Knaepper, Gerald Enzner:
Long-Term Synchronization of Wireless Acoustic Sensor Networks with Nonpersistent Acoustic Activity Using Coherence State. ICASSP 2023: 1-5 - 2022
- [c20]Aleksej Chinaev, Gerald Enzner:
Distributed Synchronization For Ad-Hoc Acoustic Sensor Networks Using Closed-Loop Double-Cross-Correlation Processing. IWAENC 2022: 1-5 - [c19]Stefan Thaleiser, Aleksej Chinaev, Rainer Martin, Gerald Enzner:
Dual-Compression Neural Network with Optimized Output Weighting For Improved Single-Channel Speech Enhancement. IWAENC 2022: 1-5 - 2021
- [j1]Aleksej Chinaev
Double-Cross-Correlation Processing for Blind Sampling-Rate and Time-Offset Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1881-1896 (2021) - [c18]Aleksej Chinaev, Gerald Enzner, Tobias Gburrek, Joerg Schmalenstroeer:
Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. EUSIPCO 2021: 1110-1114 - [c17]Aleksej Chinaev
Control Architecture of the Double-Cross-Correlation Processor for Sampling-Rate-Offset Estimation in Acoustic Sensor Networks. ICASSP 2021: 801-805 - [i1]Aleksej Chinaev
Control Architecture of the Double-Cross-Correlation Processor for Sampling-Rate-Offset Estimation in Acoustic Sensor Networks. CoRR abs/2105.13743 (2021)
2010 – 2019
- 2019
- [c16]Aleksej Chinaev
A Double-cross-correlation Processor for Blind Sampling Rate Offset Estimation in Acoustic Sensor Networks. ICASSP 2019: 641-645 - 2018
- [c15]Aleksej Chinaev, Gerald Enzner, Joerg Schmalenstroeer:
Fast and Accurate Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization. ITG Symposium on Speech Communication 2018: 1-5 - [c14]Aleksej Chinaev
Low-Rate Farrow Structure with Discrete-Lowpass and Polynomial Support for Audio Resampling. EUSIPCO 2018: 475-479 - 2017
- [c13]Aleksej Chinaev
A generalized log-spectral amplitude estimator for single-channel speech enhancement. ICASSP 2017: 4980-4984 - 2016
- [c12]Aleksej Chinaev, Jahn Heymann, Lukas Drude, Reinhold Haeb-Umbach:
Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs. ITG Symposium on Speech Communication 2016: 1-5 - [c11]Aleksej Chinaev, Jens Heitkaemper, Reinhold Haeb-Umbach:
A Priori SNR Estimation Using Weibull Mixture Model. ITG Symposium on Speech Communication 2016: 1-5 - [c10]Aleksej Chinaev, Reinhold Haeb-Umbach
A priori SNR Estimation Using a Generalized Decision Directed Approach. INTERSPEECH 2016: 3758-3762 - 2015
- [c9]Jahn Heymann, Lukas Drude, Aleksej Chinaev
BLSTM supported GEV beamformer front-end for the 3RD CHiME challenge. ASRU 2015: 444-451 - [c8]Aleksej Chinaev, Reinhold Haeb-Umbach:
On optimal smoothing in minimum statistics based noise tracking. INTERSPEECH 2015: 1785-1789 - 2014
- [c7]Aleksej Chinaev, Marc Püls, Reinhold Haeb-Umbach:
Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR. ITG Symposium on Speech Communication 2014: 1-4 - [c6]Lukas Drude, Aleksej Chinaev
Source counting in speech mixtures using a variational EM approach for complex WATSON mixture models. ICASSP 2014: 6834-6838 - [c5]Lukas Drude, Aleksej Chinaev
Towards online source counting in speech mixtures applying a variational EM for complex Watson mixture models. IWAENC 2014: 213-217 - 2013
- [c4]Aleksej Chinaev
Map-based estimation of the parameters of a Gaussian Mixture Model in the presence of noisy observations. ICASSP 2013: 3352-3356 - [c3]Aleksej Chinaev
Improved single-channel nonstationary noise tracking by an optimized MAP-based postprocessor. ICASSP 2013: 7477-7481 - 2012
- [c2]Aleksej Chinaev, Reinhold Haeb-Umbach:
Quality Analysis and Optimization of the MAP-based Noise Power Spectral Density Tracker. ITG Conference on Speech Communication 2012: 1-4 - [c1]Aleksej Chinaev
Improved noise power spectral density tracking by a MAP-based postprocessor. ICASSP 2012: 4041-4044
Coauthor Index
aka: Reinhold Haeb-Umbach
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