Leethony / Additive-Margin-Softmax-Loss-Pytorch
Additive margin softmax loss in pytorch
☆46Updated 5 years ago
Alternatives and similar repositories for Additive-Margin-Softmax-Loss-Pytorch
Users that are interested in Additive-Margin-Softmax-Loss-Pytorch are comparing it to the libraries listed below
Sorting:
- A minimal pytorch package implementing a gradient reversal layer.☆158Updated 6 months ago
- Code for the Active Speakers in Context Paper (CVPR2020)☆54Updated 3 years ago
- Pre-training Cross-modal Transformer for Audio-and-Language Representations☆39Updated 4 years ago
- Augmentation adversarial training for self-supervised speaker recognition☆77Updated 3 years ago
- TF code for our CVPR2020 paper "Discriminative Multi-modality Speech Recognition"☆25Updated 3 years ago
- ☆21Updated 4 years ago
- Implementation of the paper "Attentive Statistics Pooling for Deep Speaker Embedding" in Pytorch☆43Updated 4 years ago
- Generalized cross-modal NNs; new audiovisual benchmark (IEEE TNNLS 2019)☆26Updated 5 years ago
- The official repository for Audio ALBERT☆65Updated 3 years ago
- Code and instruction on replicating the experiments done in paper: Unified Hypersphere Embedding for Speaker Recognition☆31Updated 5 years ago
- Unofficial PyTorch implementation of Masked Autoencoders that Listen☆66Updated 2 years ago
- Metric Learning (npair loss & angular loss) on mnist and Visualizing by t_SNE☆35Updated 2 years ago
- SE-Resnet+AMSoftmax for Speaker Verification☆47Updated 6 years ago
- Angular triplet center loss implementation in Pytorch.☆13Updated 4 years ago
- The Pytorch implementation of paper: Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training☆42Updated 4 months ago
- Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representations☆90Updated 10 months ago
- Probabilistic Linear Discriminant Analysis & classification, written in Python.☆128Updated 3 years ago
- Source code for models described in the paper "ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio" (https://arxiv.o…☆46Updated 3 years ago
- The Additive Margin SincNet (AM-SincNet) is a new approach for speaker recognition problems which is based in the neural network architec…☆44Updated last year
- Acoustic Scene Classification Using Deep Residual Networks with Late Fusion of Separated High and Low Frequency Paths - McDonnell and Gao…☆21Updated 10 months ago
- Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model☆26Updated 2 years ago
- COLA contrastive pre-training method implemented in PyTorch☆43Updated 4 years ago
- Pytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)☆74Updated 4 years ago
- Dual cross modality attention audio-visual speech recognition model based on vgg transformer with hybrid CTC/attention architecture using…☆12Updated 4 years ago
- A Pytorch implementation of the paper : SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification☆31Updated 3 years ago
- [ASRU 2021] Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition☆216Updated last year
- Gradient Reversal Layer for Domain Adaptation☆116Updated 2 years ago
- convenience utilities for model validation☆23Updated 5 years ago
- Speaker recognition ,Voiceprint recognition☆53Updated 5 years ago
- Official Implementation of Mockingjay in Pytorch☆54Updated last year