面向研究和生产的说话人验证、识别和拨号工具包
ecapa-tdnn 开源项目推荐(45 个)
ecapa-tdnn 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 45 个仓库This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods
用于说话人识别的 ECAPA-TDNN 非官方复现(仅在 Vox2 上训练时,Vox1_O 的 EER=0.86)
Pytorch 的声音分类实现支持 EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE 等模型,以及多种预处理方法。
本项目使用了EcapaTdnn、ResNetSE、ERes2Net、CAM++等多种先进的声纹识别模型,同时本项目也支持了MelSpectrogram、Spectrogram、MFCC、Fbank等多种数据预处理方法
基于PaddlePaddle实现的音频分类,支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型,还有多种预处理方法
Verifying the identity of a person from characteristics of the voice independent from language via NVIDIA NeMo models (ECAPA-TDNN, SpeakerNet, TitaNet-L).
Wespeaker implementations for speaker recognition and verification: U3-xi,Uncertainty aware AAM Softmax, Score normalization, calibration, and unofficial RecXi (NeurIPS 2023) source code.
Speaker verification task with ECAPA-TDNN model (trained on Persian dataset)
针对CN-Celeb数据集的基于ECAPA-TDNN的说话人识别的pytorch实现
A multimodal SER project combining BERT and ECAPA-TDNN with cross-attention-based fusion on the IEMOCAP dataset.
Target speaker extraction — isolate any voice from a noisy recording using a short reference clip. Conv-TasNet separator and ECAPA-TDNN encoder, both trained from scratch.
This repository contain the code of the main part of my master thesis degree at Politecnico di Torino in Data science & Engineering
该项目在 GitHub 上没有填写描述
📈 Model training, Pre-Training and Fine-Tuning workspace, scaling from a single RTX 3090 (24GB).
Multi-modal biometric authentication system combining face recognition (FaceNet), speaker verification (ECAPA-TDNN), and speech-to-text with liveness detection. Built with PyTorch. 99.5% test accuracy (on personal Data Set).
Full-stack AI speaker verification system using SpeechBrain's ECAPA-TDNN model to generate voice embeddings and verify speaker identity via cosine similarity. Built with FastAPI backend and React frontend.
Production-ready AI voice biometric authentication platform using FastAPI, SpeechBrain ECAPA-TDNN, and Tensorflow. Generate offline Python SDKs (.whl) for secure speaker verification with zero cloud dependency.
Speaker verification of virtual assistants using ECAPA-TDNN model from SpeechBrain toolkit and transfer learning approach emphasizing on inter and intra comparision (text independent and dependent).
A text-independent speaker verification system built with ECAPA-TDNN (Emphasized Channel Attention, Propagation and Aggregation in Time Delay Neural Network) from SpeechBrain.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/ecapa-tdnn。
- 该话题在 GitHub 上共有 45 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4777 Star,覆盖 4 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。