Results 71 to 80 of about 1,864,117 (195)

Improved Swarm Intelligent Blind Source Separation Based on Signal Cross-Correlation

Sensors, 2021
In recent years, separating effective target signals from mixed signals has become a hot and challenging topic in signal research. The SI-BSS (Blind source separation (BSS) based on swarm intelligence (SI) algorithm) has become an effective method for ...
Jiali Zi, Danju Lv, Jiang Liu, Xin Huang, Wang Yao, Mingyuan Gao, Rui Xi, Yan Zhang   +7 more
doaj   +1 more source

A Comprehensive Study of Speech Separation: Spectrogram vs Waveform Separation [PDF]

Interspeech 2019, 2019
INTERSPEECH ...
Fahimeh Bahmaninezhad, Jian Wu 0027, Rongzhi Gu, Shi-Xiong Zhang 0001, Yong Xu 0004, Meng Yu 0003, Dong Yu 0001   +6 more
openaire   +3 more sources

Prosodic Prominence and Boundaries in Sequence-to-Sequence Speech Synthesis [PDF]

, 2020
Recent advances in deep learning methods have elevated synthetic speech quality to human level, and the field is now moving towards addressing prosodic variation in synthetic speech.Despite successes in this effort, the state-of-the-art systems fall ...
Juraj Šimko, Kakouros, Sofoklis, Vainio, Martti, Suni, Antti, Šimko, Juraj, Antti Suni, Sofoklis Kakouros, Martti Vainio   +7 more
core   +1 more source

Improved Transcription and Speaker Identification System for Concurrent Speech in Bahasa Indonesia Using Recurrent Neural Network

IEEE Access, 2021
Bahasa Indonesia is one of the most prominent low-resource Languages that still lack development in regards to communication-assisting technology. This paper proposes an improved system for generating transcript and identifying speakers from a concurrent
Muhammad Bagus Andra, Tsuyoshi Usagawa
doaj   +1 more source

Speech separation in humans and machines

IEEE Workshop on Automatic Speech Recognition and Understanding, 2005., 2005
An overview of the problem of separating speech in acoustic mixtures, including some perceptual results, brief introductions to ICA and CASA, and a pitch for model-based analysis.
openaire   +2 more sources

Spectro-temporal post-enhancement using MMSE estimation in NMF based single-channel source separation [PDF]

, 2013
We propose to use minimum mean squared error (MMSE) estimates to enhance the signals that are separated by nonnegative matrix factorization (NMF). In single channel source separation (SCSS), NMF is used to train a set of basis vectors for each source ...
Erdoğan, Hakan, Grais, Emad Mounir, Hakan Erdogan, Emad M. Grais   +3 more
core   +1 more source

Lightweight target speaker separation network based on joint training

EURASIP Journal on Audio, Speech, and Music Processing, 2023
Target speaker separation aims to separate the speech components of the target speaker from mixed speech and remove extraneous components such as noise.
Jing Wang, Hanyue Liu, Liang Xu, Wenjing Yang, Weiming Yi, Fang Liu   +5 more
doaj   +1 more source

A noise-robust voice conversion method with controllable background sounds

Complex & Intelligent Systems
Background noises are usually treated as redundant or even harmful to voice conversion. Therefore, when converting noisy speech, a pretrained module of speech separation is usually deployed to estimate clean speech prior to the conversion.
Lele Chen, Xiongwei Zhang, Yihao Li, Meng Sun, Weiwei Chen   +4 more
doaj   +1 more source

Threshold-Based Combination of Ideal Binary Mask and Ideal Ratio Mask for Single-Channel Speech Separation

Information
An effective approach to addressing the speech separation problem is utilizing a time–frequency (T-F) mask. The ideal binary mask (IBM) and ideal ratio mask (IRM) have long been widely used to separate speech signals.
Peng Chen, Binh Thien Nguyen, Kenta Iwai, Takanobu Nishiura   +3 more
doaj   +1 more source

Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project [PDF]

, 2010
This paper provides an overview of speaker adaptation research carried out in the EMIME speech-to-speech translation (S2ST) project. We focus on how speaker adaptation transforms can be learned from speech in one language and applied to the acoustic ...
Tokuda, Keiichi, Shannon, Matt, Shiota, Sayaka, Wester, Mirjam; id_orcid, Oura, Keiichiro, Gibson, Matthew, Hirsimaki, Teemu, Yamagishi, Junichi, King, Simon; id_orcid, Karhila, Reima, Wu, Yi-Jian, Tian, Jilei, Dines, John, Byrne, William, Saheer, Lakshmi, Liang, Hui, Kurimo, Mikko, Garner, Philip N., Guan, Yong, King, Simon, Wester, Mirjam   +20 more
core   +1 more source