MiniVoxCode for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".
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AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
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11K-HandsTwo-stream CNN for gender classification and biometric identification using a dataset of 11K hand images.
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meta-SRPytorch implementation of Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs (Interspeech, 2020)
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age-and-genderPredict Age and Gender of people from images | Determination of gender and age
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WreckFaceAppAndroid application for gender, age and face recognition using OpenCV and JavaCV libraries
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D-TDNNPyTorch implementation of Densely Connected Time Delay Neural Network
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HSE FaceRec tfTensorflow/Keras small models for face recognition, ag/gender prediction from images
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AESRC2020a deep accent recognition network
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meta-embeddingsMeta-embeddings are a probabilistic generalization of embeddings in machine learning.
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wavenet-classifierKeras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
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PiwhoSpeaker recognition library based on MARF for raspberry pi and other SBCs.
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GE2E-LossPytorch implementation of Generalized End-to-End Loss for speaker verification
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Speaker-RecognitionThis repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1
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bobBob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob
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AutoSpeech[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
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Face Api.jsJavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
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dropclass speakerDropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020
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speakerIdentificationNeuralNetworks⇨ 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 hi…
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Speaker-IdentificationA program for automatic speaker identification using deep learning techniques.
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kaldi-timit-sre-ivectorDevelop speaker recognition model based on i-vector using TIMIT database
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