%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Dccrnet Libri1Mix Enhsingle 16k
DCCRN-CL architecture speech enhancement model trained on the Asteroid framework, specifically designed for single-channel speech enhancement tasks, trained on the Libri1Mix dataset.
Downloads 10.99k
Release Time : 3/2/2022
Model Overview
This model adopts the DCCRN-CL architecture for audio-to-audio speech enhancement tasks, effectively improving the quality and clarity of speech signals.
Model Features
Efficient Speech Enhancement
Performs excellently on the Libri1Mix dataset, achieving a 9.88dB improvement in SI-SDR, significantly enhancing speech quality.
DCCRN-CL Architecture
Utilizes an advanced architecture combining deep complex convolutional recurrent networks with causal LSTM, suitable for real-time speech processing.
Lightweight Design
With a batch size of only 12, it is suitable for deployment in environments with moderate computational resources.
Model Capabilities
Single-channel speech enhancement
Noise suppression
Speech clarity improvement
Use Cases
Voice communication
VoIP call enhancement
Improves the quality of internet voice calls, especially in noisy environments
0.118 improvement in STOI, significantly enhancing speech intelligibility
Audio post-processing
Recording purification
Noise reduction for noisy recordings
10.37dB improvement in SDR, effectively preserving speech signals
SafetensorsFeatured Recommended AI Models
Š 2025AIbase