Speaker-IdentificationA program for automatic speaker identification using deep learning techniques.
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FreeSRA Free Library for Speaker Recognition (Verification),implemented by ncnn.
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MiniVoxCode for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".
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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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D-TDNNPyTorch implementation of Densely Connected Time Delay Neural Network
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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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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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