Topic: speaker-identification Goto Github
Some thing interesting about speaker-identification
Some thing interesting about speaker-identification
speaker-identification,Champion at Brainhack TIL 2023: Team 10000SGDMRT
User: aliencaocao
speaker-identification,Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Organization: alphacep
speaker-identification,This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1
User: anwarvic
speaker-identification,A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
Organization: appen
speaker-identification,Speaker Identification System (upto 100% accuracy); built using Python 2.7 and python_speech_features library
User: atul-anand-jha
speaker-identification,Denoising autoencoders for speaker identification on MCE 2018 challenge
Organization: biometricvox
speaker-identification,Speakerbox: Fine-tune Audio Transformers for speaker identification.
Organization: councildataproject
Home Page: https://councildataproject.org/speakerbox
speaker-identification,DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020
User: cvqluu
speaker-identification,Pytorch implementation of Generalized End-to-End Loss for speaker verification
User: cvqluu
speaker-identification,mirror of VoxCeleb dataset - a large-scale speaker identification dataset
User: cyrta
speaker-identification,Implementing VGGVox for Speaker Identification on VoxCeleb1 dataset in PyTorch.
User: derpimort
speaker-identification,Official implementation of the ICASSP 2024 paper: Emphasized Non-Target Speaker Knowledge in Knowledge Distillation for Speaker Verification
User: ductuantruong
Home Page: https://arxiv.org/abs/2309.14838
speaker-identification,Source code for paper "Who is real Bob? Adversarial Attacks on Speaker Recognition Systems" (IEEE S&P 2021)
User: fakebob-adversarial-attack
speaker-identification,Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"
User: funcwj
speaker-identification,This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.
Organization: google
speaker-identification,PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
User: harryvolek
speaker-identification,Keras + pyTorch implimentation of "Deep Learning & 3D Convolutional Neural Networks for Speaker Verification"
User: imranparuk
speaker-identification,A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.
User: jefflai108
speaker-identification,this master thesis project is based on OpenAI Whisper with the goal to transcibe interviews
User: jojojaeger
Home Page: https://openai.com/research/whisper
speaker-identification,MobileNet trained with VoxCeleb dataset and used for voice verification
User: jpinedaa
speaker-identification,Simple d-vector based Speaker Recognition (verification and identification) using Pytorch
User: jymsuper
speaker-identification,Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
Organization: kaistmm
speaker-identification,This repository contains a short introduction on the topic of audio and speech processing -- from basics to applications.
User: koudounasalkis
speaker-identification,Implementation of the paper "Attentive Statistics Pooling for Deep Speaker Embedding" in Pytorch
User: krishnadn
speaker-identification,Implementation of the paper "BERTphone: Phonetically-aware Encoder Representations for Utterance-level Speaker and Language Recognition"
User: krishnadn
speaker-identification,Speaker diarization service
Organization: linto-ai
speaker-identification,⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ⇨ During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ⇨ The highlight of the system is that it can identify the Speaker's voice in a Multi-Speaker Environment too. Multi-layer Perceptron (MLP) Neural Network based on error back propagation training algorithm was used to train and test the system. ⇨ The system response time was 74 µs with an average efficiency of 95%.
User: manthanthakker
speaker-identification,Speaker embedding for VI-SVC and VI-SVS, alse for VITS; Use this to replace the ID to implement voice clone.
User: maxmax2016
speaker-identification,声纹识别(Voiceprint Recognition, VPR),也称为说话人识别(Speaker Recognition),有两类,即说话人辨认(Speaker Identification)和说话人确认(Speaker Verification)
User: mialrr
speaker-identification,Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
User: mjpyeon
speaker-identification,SincNet is a neural architecture for efficiently processing raw audio samples.
User: mravanelli
speaker-identification,Neural speaker recognition/verification system based on Kaldi and Tensorflow
User: mycrazycracy
speaker-identification,A tool for summarizing dialogues from videos or audio
User: nezhar
speaker-identification,Backend of anti-fraud system based on speaker identification technology. 基于声纹识别的反诈系统后端
User: nuaazs
speaker-identification,Identifying people from small audio fragments
User: oscarknagg
speaker-identification,On-device speaker recognition engine powered by deep learning
Organization: picovoice
speaker-identification,Trained speaker embedding deep learning models and evaluation pipelines in pytorch and tesorflow for speaker recognition.
User: piotrta
speaker-identification,Kaldi based speaker verification
User: qianhwan
speaker-identification,Source Code for 'SECurity evaluation platform FOR Speaker Recognition' released in 'Defending against Audio Adversarial Examples on Speaker Recognition Systems'
User: sec4sr
speaker-identification,Create speaker voiceprints from a few seconds of audio. And, identify individuals in real-time streaming or recorded conversations.
Organization: seernet
Home Page: https://developers.deepaffects.com/
speaker-identification,The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model
User: siavashshams
speaker-identification,Speaker Identification using Neural Net.
Organization: skydocs
speaker-identification,Deep Learning - one shot learning for speaker recognition using Filter Banks
Organization: speaker-identification
speaker-identification,The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.
Organization: speechbrain
speaker-identification,:sound: :boy: :girl: :woman: :man: Speaker identification using voice MFCCs and GMM
User: superkogito
speaker-identification,Voxceleb1 i-vector based speaker recognition system
User: swshon
speaker-identification,UPC Deep Learning for Speech and Language 2018
Organization: telecombcn-dl
Home Page: https://telecombcn-dl.github.io/2018-dlsl/
speaker-identification,Implementation of a speaker identification and a speaker verification system based on Gaussian Mixture Models (GMM) in combination with and Universal Background Model (UBM) on the YOHO dataset in MATLAB.
User: tobiasfshr
speaker-identification,Speaker identification/verification models for Machine Learning for Computer Vision class at UNIBO
User: wadaboa
speaker-identification,A curated list of awesome speaker recognition/verification papers, projects, datasets, and competition.
User: zabir-nabil
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