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asv-sample

danet

Deep Attractor Network (DANet) for single-channel speech separation

deep-attractor-network

deep-clustering

A tensorflow implementation for Deep clustering: Discriminative embeddings for segmentation and separation

deep-speaker

Implementation of the paper "Deep Speaker: an End-to-End Neural Speaker Embedding System" available at https://arxiv.org/pdf/1705.02304.pdf"

deep-speaker-1

Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf

divyeshrajpura4114.github.io

dnc

Discriminative Neural Clustering for Speaker Diarisation

ge2e-speaker-verification

Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"

kaldi

This is now the official location of the Kaldi project.

lstm_pit_speech_separation

Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.

metric-learning-pipelines-for-speaker-diarization

pytorch-batch-attention-seq2seq

PyTorch implementation of batched bi-RNN encoder and attention-decoder.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]

pytorch_speaker_verification

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

seq2seq

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

seq2seq-1

Sequence to Sequence Learning with Keras

smaple_classification

spectralcluster

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

sphereface_pytorch

A PyTorch Implementation of SphereFace.

type-on-strap

🎨 Simplistic, responsive jekyll based open source theme

voice-activity-detection

Voice Activity Detection (VAD) using deep learning. Student project in collaboration between s153077 and s134868 for the course 02456 Deep Learning at DTU. Supervised by Retune DSP.

zolan

Zolan is a minimal blog theme for Jekyll.