A speech separation system in video sequence using dilated inception network and U-Net
Egyptian Informatics Journal, 2022 In this paper, an audio-visual model for separating a speech of the target speaker from a combination of other speakers’ speeches is proposed. It can be used in speech separation, automatic speech recognition systems (ASR) and also in creating single ...
Ghada Dahy +3 more
doaj +1 more source
Two-stage multi-target joint learning for monaural speech separation
, 2015 Recently, supervised speech separation has been extensively studied and shown considerable promise. Due to the temporal continuity of speech, speech auditory features and separation targets present prominent spectro-temporal structures and strong ...
Xueliang Zhang +13 more
core +1 more source
Microphone array beamforming approach to blind speech separation
, 2008 In this paper, we present a microphone array beamforming approach to blind speech separation. Unlike previous beamforming approaches, our system does not require a-priori knowledge of the microphone placement and speaker location, making the system ...
Mike Lincoln +5 more
core +1 more source
Core processing neuron‐enabled circuit motifs for neuromorphic computing
InfoMat, 2023 Based on brain‐inspired computing frameworks, neuromorphic systems implement large‐scale neural networks in hardware. Although rapid advances have been made in the development of artificial neurons and synapses in recent years, further research is beyond
Hanxi Li +11 more
doaj +1 more source
Analysis of Impact of Emotions on Target Speech Extraction and Speech Separation
2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 2022 Accepted to IWAENC ...
Jan Svec +6 more
openaire +3 more sources
Effective Monoaural Speech Separation through Convolutional Top-Down Multi-View Network
Future InternetSpeech separation, sometimes known as the “cocktail party problem”, is the process of separating individual speech signals from an audio mixture that includes ambient noises and several speakers.
Aye Nyein Aung +2 more
doaj +1 more source
Speech Source Separation Using Variational Autoencoder and Bandpass Filter
IEEE Access, 2020 Speech source separation is essential for speech-related applications because this process enhances the input speech signal for the main processing model.
Hao Duc Do +2 more
doaj +1 more source
Voice clarification using active noise control and speech separation
Nihon Kikai Gakkai ronbunshu, 2020 Active noise control (ANC) is a technique used to reduce environmental noise in noisy places such as office or aircraft cabin. ANC reduces the overall input signal even when it has necessary information such as conversation as well as noise.
Ryoutaro TANAKA +3 more
doaj +1 more source
Privacy and Quality Improvements in Open Offices Using Multi-Device Speech Enhancement
, 2023 Teleconferencing has increased in popularity and often takes place around other people such as open offices. A particular problem of such environments is that multiple users can have independent conversations simultaneously, which leak into each others ...
Rech, Silas +2 more
core +1 more source
Joint Deep Neural Network for Single-Channel Speech Separation on Masking-Based Training Targets
IEEE AccessSingle-channel speech separation can be adopted in many applications. Time-frequency (T-F) masking is an effective method for single-channel speech separation. With advancements in deep learning, T-F masks have become used as a training target, achieving
Peng Chen +4 more
doaj +1 more source