Global ETD Search

1	Deep learning methods for speaker separation in reverberant conditions Delfarah, Masood 16 October 2019 (has links) No description available. Artificial Intelligence Computer Engineering Computer Science Speaker separation dereverberation deep learning feature selection speech intelligibility
2	Time-domain Deep Neural Networks for Speech Separation Sun, Tao 24 May 2022 (has links) No description available. Computer Science Speech Separation Deep Neural Networks Self-supervised Learning Speech Enhancement Speaker Separation
3	Deep CASA for Robust Pitch Tracking and Speaker Separation Liu, Yuzhou January 2019 (has links) No description available. Computer Science Engineering Computational auditory scene analysis speech separation talker-independent speaker separation permutation invariant training pitch estimation multi-pitch estimation machine learning deep learning neural networks
4	Evaluation of Methods for Sound Source Separation in Audio Recordings Using Machine Learning Gidlöf, Amanda January 2023 (has links) Sound source separation is a popular and active research area, especially with modern machine learning techniques. In this thesis, the focus is on single-channel separation of two speakers into individual streams, and specifically considering the case where two speakers are also accompanied by background noise. There are different methods to separate speakers and in this thesis three different methods are evaluated: the Conv-TasNet, the DPTNet, and the FaSNetTAC. The methods were used to train models to perform the sound source separation. These models were evaluated and validated through three experiments. Firstly, previous results for the chosen separation methods were reproduced. Secondly, appropriate models applicable for NFC's datasets and applications were created, to fulfill the aim of this thesis. Lastly, all models were evaluated on an independent dataset, similar to datasets from NFC. The results were evaluated using the metrics SI-SNRi and SDRi. This thesis provides recommended models and methods suitable for NFC applications, especially concluding that the Conv-TasNet and the DPTNet are reasonable choices. Sound source separation signal processing audio processing speech enhancement speaker identification speech separation speech processing speaker separation single channel multi channel cocktail party problem machine learning neural network deep learning deep neural network convolutional network dual-path network filter-and-sum network recurrent network beamforming Communication Systems Kommunikationssystem

1

Page generated in 0.1203 seconds