The official repo of NBC & SpatialNet for multichannel speech separation, denoising, and dereverberation
- Updated
Jan 1, 2025 - Python
The official repo of NBC & SpatialNet for multichannel speech separation, denoising, and dereverberation
Collection of EM algorithms for blind source separation of audio signals
A personal toolkit for single/multi-channel speech recognition & enhancement & separation.
A description of "RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization" [NeurIPS 2024]
A flexible data historian based on InfluxDB, Grafana, MQTT, and more. Free, open, simple.
Self-Supervised Vision Transformers for multiplexed imaging datasets
A python implementation of “SRP-DNN: Learning Direct-Path Phase Difference for Multiple Moving Sound Source Localization” [ICASSP 2022]
A python implementation of “Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer” [TASLP 2024]
A python implementation of “Learning Deep Direct-Path Relative Transfer Function for Binaural Sound Source Localization” [TASLP 2021]
Saraswati is a robust, multi-channel audio recording, transmission and storage system
The first and only self-hosted Telegram bot for Amazon affiliate marketing with integrated AI. Transform your affiliate campaigns with automated price monitoring, AI-generated content, and multi-channel publishing.
OSSA (Open-Source Sorting Algorithm) is an interactive software for manual curation of neural spikes.
OS-level deterministic bridge with in-freq multi-channels (1–8) and multi-OS bridges. Bit-identical across Linux, macOS, Windows. No heuristics.
AgorAI: A Python package for fair, transparent decision-making and democratic synthesis that combines social choice theory, welfare-economics aggregation, and LLM-driven opinion synthesis
Basic python scripts for record and play audio by using pyaudio
A python script for searching and pretty-printing info about audio streams on a Linux machine
Lung diseases classification in 2D using chest CT cases and Analysis the multi-channel effect on classification. This work is been done during summer internship July-Aguest 2018, Duke University Medical Center.
Code for multi-channel tomographic reconstruction with Multi-Channel DART (MC-DART)
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