Jun 5, 2021 · We propose a lightweight time-frequency domain separation model, LSTM-Former, which is based on the LSTM framework with source-to-noise ratio (SI-SNR) loss.
TSS avoids the permutation and output dimension problems in traditional speech separation method simultaneously, making it more suitable in the mobile voice.
Lightweight Dual-channel Target Speaker Separation for Mobile Voice Communication ... Target Speaker Separation Using Joint Training with Target Speaker's ...
Nowadays, there is a strong need to deploy the target speaker separation (TSS) model on mobile devices with a limitation of the model size and computational ...
Lightweight Dual-channel Target Speaker Separation for Mobile Voice Communication · Computer Science, Engineering. ArXiv · 2021.
Figure 3: The backbone network of the LSTMFormer model. Lightweight Dual-channel Target Speaker Separation for Mobile Voice Communication. Preprint. Full-text ...
Jul 31, 2024 · Lightweight Dual-channel Target Speaker Separation for Mobile Voice Communication. CoRR abs/2106.02934 (2021); 2020. [j4]. view. electronic ...
Dec 6, 2023 · A lightweight target speaker separation network based on long-short-term memory (LSTM) is proposed, which can reduce the model size and computational delay.
Missing: Communication. | Show results with:Communication.
"Look once to hear" is an intelligent hearable system where users choose to hear a target speaker by looking at them for a few seconds.
Nov 17, 2020 · A simple model design paradigm that explicitly designs ultra-lightweight models without sacrificing the performance is provided and the ...