Speech is a signal that includes speaker's emotion, characteristic specification, phoneme-
information etc. Various methods have been proposed for speaker recognition by extracting …

A speaker verification system should include effective precautions against malicious
spoofing attacks, and although some initial countermeasures have been recently proposed …

This study evaluates the effects of some non-learning blind bandwidth extension (BWE)
methods on automatic speaker verification (ASV) systems based on x-vector. Recently, a …

This paper has three aims that are to point out that signals generated by conventional BWE
methods generally include some aliasing artifacts, to propose a novel bandwidth extension …

This study evaluates the effects of some non-learning blind bandwidth extension (BWE)
methods on state-of-the-art automatic speaker verification (ASV) systems. Recently, a non …

The ability to employ automatic speaker verification systems without face-to-face contact
makes them more prone to malicious spoofing attacks compared to most other biometric …

In this work, we propose a modular combination of two popular applications of neural
networks to large-vocabulary continuous speech recognition. First, a deep neural network is …

This paper investigates the algorithmic latency of non-learning blind bandwidth extension
(BWE) approaches, and evaluates their quality with objective measurements. BWE methods …

論文抄録 本論文では非線形帯域拡張法を適用した音声が音声認識システムに与える影響
について性能調査する. 音声認識システムと入力されるテストデータにサンプリング周波数の不一致 …

論文抄録 本論文は, i-vector/PLDA に基づく話者照合システムを用いて非線形帯域拡張 (N-Bwe)
法を評価することを目的としている. N-Bwe 法とは帯域拡張法の一つで, モデル学習を行わず …