joaoantoniocn / AM-MobileNet1DLinks
The Additive Margin MobileNet1D is a new light weight deep learning model for Speaker Recognition which is based on the MobileNetV2 architecture and the Additive Margin Softmax (AM-Softmax) loss function.)
☆30Updated last year
Alternatives and similar repositories for AM-MobileNet1D
Users that are interested in AM-MobileNet1D are comparing it to the libraries listed below
Sorting:
- The Additive Margin SincNet (AM-SincNet) is a new approach for speaker recognition problems which is based in the neural network architec…☆45Updated last year
- Trained speaker embedding deep learning models and evaluation pipelines in pytorch and tesorflow for speaker recognition.☆36Updated 5 years ago
- Sound augmentation using Large-scale audio dataset (Audioset)☆45Updated 4 years ago
- Companion repository for the paper "A Comparison of Metric Learning Loss Functions for End-to-End Speaker Verification" published at SLSP…☆60Updated 4 years ago
- Multiobjective Optimization Training of PLDA for Speaker Verification☆10Updated 7 years ago
- A PyTorch implementation of Tacotron2, an end-to-end text-to-speech(TTS) system described in "Natural TTS Synthesis By Conditioning Waven…☆52Updated 6 years ago
- Meta-embeddings are a probabilistic generalization of embeddings in machine learning.☆22Updated 6 years ago
- Won't it be cool to build a speech assistant like Alexa or Siri yourself without voice API and network connection?☆33Updated 7 years ago
- "An Improved Deep Embedding Learning Method for Short Duration Speaker Verification" pytorch implementation☆19Updated 6 years ago
- Kaldi style neural network training in pytorch for use in place of nnet3 in Kaldi.☆26Updated last year
- Keras implementation of SincNet (https://github.com/mravanelli/SincNet, https://arxiv.org/abs/1808.00158)☆12Updated 7 years ago
- 2nd place solution for ID R&D Voice Antispoofing Challenge☆15Updated 6 years ago
- Losses and decoders for end-to-end ASR and OCR☆34Updated 4 years ago
- Dialect identification using Siamese network☆15Updated 7 years ago
- SpeechYOLO Interspeech 2019☆44Updated 3 years ago
- Python library for audio augmentation☆84Updated 2 years ago
- Tensor2tensor experiment with SpecAugment☆46Updated 6 years ago
- A "Crowd-Built" continuously growing speech dataset with transcripts. The dataset contains multiple languages and is intended for anyone …☆42Updated 3 years ago
- In this repository, I try to combine k2 with speechbrain to decode well and fastly.☆16Updated 3 years ago
- A speech signal processing library in Python with emphasis on deep learning.☆31Updated 3 years ago
- Download and create a tfreader for the audioset dataset☆16Updated 5 years ago
- Filtering and Noise Adding Tool☆29Updated 3 years ago
- Compute useful transcriptions metrics (CER, WER, SER, ...)☆27Updated 10 years ago
- Interspeech 2019 tutorial materials☆49Updated 5 years ago
- Code and instruction on replicating the experiments done in paper: Unified Hypersphere Embedding for Speaker Recognition☆32Updated 6 years ago
- Repository for Weak Label Learning for Audio Events - A closer look. Uses Audioset subset data provided for reproducibility.☆32Updated 2 years ago
- ☆38Updated 5 years ago
- Implementation of "FastSpeech: Fast, Robust and Controllable Text to Speech"☆64Updated 2 years ago
- Demo page of our paper Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks With Guided Attention, ICASSP 201…☆15Updated 4 years ago
- This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of a…☆95Updated 5 years ago