Awesome Speaker Diarization

• Overview
• Publications
• Software
  • Framework
  • Evaluation
  • Clustering
  • Speaker embedding
  • Speaker change detection
  • Audio feature extraction
  • Audio data augmentation
  • Other sotware
• Datasets
  • Diarization datasets
  • Speaker embedding training sets
  • Augmentation noise sources
• Conferences
• Other learning materials
  • Online courses
  • Books
  • Tech blogs
  • Video tutorials
• Products

This is a curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

The purpose of this repo is to organize the world’s resources for speaker diarization, and make them universally accessible and useful.

To add items to this page, simply send a pull request. (contributing guide)

• A Review of Speaker Diarization: Recent Advances with Deep Learning, 2021
• A review on speaker diarization systems and approaches, 2012
• Speaker diarization: A review of recent research, 2010

• DiarizationLM: Speaker Diarization Post-Processing with Large Language Models, 2024
• Enhancing Speaker Diarization with Large Language Models: A Contextual Beam Search Approach, 2023
• Lexical speaker error correction: Leveraging language models for speaker diarization error correction, 2023

• DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors, 2023
• TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization, 2023
• Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis, 2022
• End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings, 2021
• Supervised online diarization with sample mean loss for multi-domain data, 2019
• Discriminative Neural Clustering for Speaker Diarisation, 2019
• End-to-End Neural Speaker Diarization with Permutation-Free Objectives, 2019
• End-to-End Neural Speaker Diarization with Self-attention, 2019
• Fully Supervised Speaker Diarization, 2018

• A Comparative Study on Speaker-attributed Automatic Speech Recognition in Multi-party Meetings, 2022
• Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection, 2021
• Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR, 2021
• Joint Speech Recognition and Speaker Diarization via Sequence Transduction, 2019
• Says who? Deep learning models for joint speech recognition, segmentation and diarization, 2018

• Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox, 2021
• Online Speaker Diarization with Relation Network, 2020
• VoiceID on the Fly: A Speaker Recognition System that Learns from Scratch, 2020

• M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge, 2022
• The Hitachi-JHU DIHARD III system: Competitive end-to-end neural diarization and x-vector clustering systems combined by DOVER-Lap
• Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge, 2018
• ODESSA at Albayzin Speaker Diarization Challenge 2018, 2018
• Joint Discriminative Embedding Learning, Speech Activity and Overlap Detection for the DIHARD Challenge, 2018

• AVA-AVD: Audio-Visual Speaker Diarization in the Wild, 2022
• DyViSE: Dynamic Vision-Guided Speaker Embedding for Audio-Visual Speaker Diarization, 2022
• End-to-End Audio-Visual Neural Speaker Diarization, 2022
• MSDWild: Multi-modal Speaker Diarization Dataset in the Wild, 2022

• Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation
• End-to-end speaker segmentation for overlap-aware resegmentation
• DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding
• DOVER-Lap: A method for combining overlap-aware diarization outputs
• Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks

• An End-to-End Speaker Diarization Service for improving Multimedia Content Access
• Spot the conversation: speaker diarisation in the wild
• Speaker Diarization with Region Proposal Network
• Target-Speaker Voice Activity Detection: a Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario

• Overlap-aware diarization: resegmentation using neural end-to-end overlapped speech detection
• Speaker diarization using latent space clustering in generative adversarial network
• A study of semi-supervised speaker diarization system using gan mixture model
• Learning deep representations by multilayer bootstrap networks for speaker diarization
• Enhancements for Audio-only Diarization Systems
• LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization
• Meeting Transcription Using Virtual Microphone Arrays
• Speaker diarisation using 2D self-attentive combination of embeddings
• Speaker Diarization with Lexical Information

• Neural speech turn segmentation and affinity propagation for speaker diarization
• Multimodal Speaker Segmentation and Diarization using Lexical and Acoustic Cues via Sequence to Sequence Neural Networks
• Joint Speaker Diarization and Recognition Using Convolutional and Recurrent Neural Networks

• Speaker Diarization with LSTM
• Speaker diarization using deep neural network embeddings
• Speaker diarization using convolutional neural network for statistics accumulation refinement
• pyannote. metrics: a toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems
• Speaker Change Detection in Broadcast TV using Bidirectional Long Short-Term Memory Networks
• Speaker Diarization using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings

• A Speaker Diarization System for Studying Peer-Led Team Learning Groups

• Diarization resegmentation in the factor analysis subspace

• A study of the cosine distance-based mean shift for telephone speech diarization
• Speaker diarization with PLDA i-vector scoring and unsupervised calibration
• Artificial neural network features for speaker diarization

• Unsupervised methods for speaker diarization: An integrated and iterative approach

• PLDA-based Clustering for Speaker Diarization of Broadcast Streams
• Speaker diarization of meetings based on speaker role n-gram models

• Speaker Diarization for Meeting Room Audio

• Stream-based speaker segmentation using speaker factors and eigenvoices

• An overview of automatic speaker diarization systems
• A spectral clustering approach to speaker diarization

Link	Language	Description
FunASR	Python & PyTorch	FunASR is an open-source speech toolkit based on PyTorch, which aims at bridging the gap between academic researchs and industrial applications.
MiniVox	MATLAB	MiniVox is an open-source evaluation system for the online speaker diarization task.
SpeechBrain	Python & PyTorch	SpeechBrain is an open-source and all-in-one speech toolkit based on PyTorch.
SIDEKIT for diarization (s4d)	Python	An open source package extension of SIDEKIT for Speaker diarization.
pyAudioAnalysis	Python	Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.
AaltoASR	Python & Perl	Speaker diarization scripts, based on AaltoASR.
LIUM SpkDiarization	Java	LIUM_SpkDiarization is a software dedicated to speaker diarization (i.e. speaker segmentation and clustering). It is written in Java, and includes the most recent developments in the domain (as of 2013).
kaldi-asr	Bash	Example scripts for speaker diarization on a portion of CALLHOME used in the 2000 NIST speaker recognition evaluation.
Alize LIA_SpkSeg	C++	ALIZÉ is an opensource platform for speaker recognition. LIA_SpkSeg is the tools for speaker diarization.
pyannote-audio	Python	Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding.
pyBK	Python	Speaker diarization using binary key speaker modelling. Computationally light solution that does not require external training data.
Speaker-Diarization	Python	Speaker diarization using uis-rnn and GhostVLAD. An easier way to support openset speakers.
EEND	Python & Bash & Perl	End-to-End Neural Diarization.
VBx	Python	Variational Bayes HMM over x-vectors diarization. x-vector extractor recipe
RE-VERB	Python & JavaScript	RE: VERB is speaker diarization system, it allows the user to send/record audio of a conversation and receive timestamps of who spoke when.
StreamingSpeakerDiarization	Python	Streaming speaker diarization, extends pyannote.audio to online processing
simple_diarizer	Python	Simplified diarization pipeline using some pretrained models. Made to be a simple as possible to go from an input audio file to diarized segments.
Picovoice Falcon	C & Python	A lightweight, accurate, and fast speaker diarization engine written in C and available in Python, running on CPU with minimal overhead.
DiaPer	Python	Pytorch implementation for DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors including models pre-trained on free and public data.

Link	Language	Description
pyannote-metrics	Python	A toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems.
SimpleDER	Python	A lightweight library to compute Diarization Error Rate (DER).
NIST md-eval	Perl	(1) modified md-eval.pl from Mary Tai Knox; (2) md-eval-v21.pl from jitendra; (3) md-eval-22.pl from nryant
dscore	Python & Perl	Diarization scoring tools.
Sequence Match Accuracy	Python	Match the accuracy of two sequences with Hungarian algorithm.
spyder	Python & C++	Simple Python package for fast DER computation.

Link	Language	Description
uis-rnn	Python & PyTorch	Google's Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, for Fully Supervised Speaker Diarization. This clustering algorithm is supervised.
uis-rnn-sml	Python & PyTorch	A variant of UIS-RNN, for the paper Supervised Online Diarization with Sample Mean Loss for Multi-Domain Data.
DNC	Python & ESPnet	Transformer-based Discriminative Neural Clustering (DNC) for Speaker Diarisation. Like UIS-RNN, it is supervised.
SpectralCluster	Python	Spectral clustering with affinity matrix refinement operations, auto-tune, and speaker turn constraints.
sklearn.cluster	Python	scikit-learn clustering algorithms.
PLDA	Python	Probabilistic Linear Discriminant Analysis & classification, written in Python.
PLDA	C++	Open-source implementation of simplified PLDA (Probabilistic Linear Discriminant Analysis).
Auto-Tuning Spectral Clustering	Python	Auto-tuning Spectral Clustering method that does not need development set or supervised tuning.

Link	Method	Language	Description
resemble-ai/Resemblyzer	d-vector	Python & PyTorch	PyTorch implementation of generalized end-to-end loss for speaker verification, which can be used for voice cloning and diarization.
Speaker_Verification	d-vector	Python & TensorFlow	Tensorflow implementation of generalized end-to-end loss for speaker verification.
PyTorch_Speaker_Verification	d-vector	Python & PyTorch	PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al. With UIS-RNN integration.
Real-Time Voice Cloning	d-vector	Python & PyTorch	Implementation of "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis" (SV2TTS) with a vocoder that works in real-time.
deep-speaker	d-vector	Python & Keras	Third party implementation of the Baidu paper Deep Speaker: an End-to-End Neural Speaker Embedding System.
x-vector-kaldi-tf	x-vector	Python & TensorFlow & Perl	Tensorflow implementation of x-vector topology on top of Kaldi recipe.
kaldi-ivector	i-vector	C++ & Perl	Extension to Kaldi implementing the standard i-vector hyperparameter estimation and i-vector extraction procedure.
voxceleb-ivector	i-vector	Perl	Voxceleb1 i-vector based speaker recognition system.
pytorch_xvectors	x-vector	Python & PyTorch	PyTorch implementation of Voxceleb x-vectors. Additionaly, includes meta-learning architectures for embedding training. Evaluated with speaker diarization and speaker verification.
ASVtorch	i-vector	Python & PyTorch	ASVtorch is a toolkit for automatic speaker recognition.
asv-subtools	i-vector & x-vector	Kaldi & PyTorch	ASV-Subtools is developed based on Pytorch and Kaldi for the task of speaker recognition, language identification, etc. The 'sub' of 'subtools' means that there are many modular tools and the parts constitute the whole.
WeSpeaker	x-vector & r-vector	Python & C++ & PyTorch	WeSpeaker is a research and production oriented speaker verification, recognition and diarization toolkit, which supports very strong recipes with on-the-fly data preparation, model training and evaluation, as well as runtime C++ codes.

Link	Language	Description
change_detection	Python & Keras	Code for Speaker Change Detection in Broadcast TV using Bidirectional Long Short-Term Memory Networks.

Link	Language	Description
LibROSA	Python	Python library for audio and music analysis. https://librosa.github.io/
python_speech_features	Python	This library provides common speech features for ASR including MFCCs and filterbank energies. https://python-speech-features.readthedocs.io/en/latest/
pyAudioAnalysis	Python	Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.

Link	Language	Description
pyroomacoustics	Python	Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios. https://pyroomacoustics.readthedocs.io
gpuRIR	Python	Python library for Room Impulse Response (RIR) simulation with GPU acceleration
rir_simulator_python	Python	Room impulse response simulator using python
WavAugment	Python & PyTorch	WavAugment performs data augmentation on audio data. The audio data is represented as pytorch tensors
EEND_dataprep	Bash & Python	Recipes for generating simulated conversations used to train end-to-end diarization models.

Link	Language	Description
VB Diarization	Python	VB Diarization with Eigenvoice and HMM Priors.
DOVER-Lap	Python	Python package for combining diarization system outputs

• Course on Udemy: A Tutorial on Speaker Diarization

• Voice Identity Techniques: From core algorithms to engineering practice (Chinese) by Quan Wang, 2020

• Literature Review For Speaker Change Detection by Halil Erdoğan
• Speaker Diarization: Separation of Multiple Speakers in an Audio File by Jaspreet Singh
• Speaker Diarization with Kaldi by Yoav Ramon
• Who spoke when! How to Build your own Speaker Diarization Module by Rahul Saxena

• pyannote audio: neural building blocks for speaker diarization by Hervé Bredin
• Google's Diarization System: Speaker Diarization with LSTM by Google
• Fully Supervised Speaker Diarization: Say Goodbye to clustering by Google
• Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection by Google
• Speaker Diarization: Optimal Clustering and Learning Speaker Embeddings by Microsoft Research
• Robust Speaker Diarization for Meetings: the ICSI system by Microsoft Research
• 【机器之心&博文视点】入门声纹技术｜第二讲：声纹分割聚类与其他应用 by Quan Wang