Here are my blog posts in reverse chronological order:
- Transducers at InterSpeech 2023 28 August 2023
- GBO notes: Approximation algorithms 28 April 2022
- Heilmeier Catachism of my research 22 April 2022
- GBO notes: Machine learning basics (Part 5) 21 April 2022
- GBO notes: Machine learning basics (Part 4) 21 April 2022
- GBO notes: Machine learning basics (Part 3) 21 April 2022
- GBO notes: Machine learning basics (Part 2) 20 April 2022
- GBO notes: Machine learning basics (Part 1) 20 April 2022
- GBO notes: Continuous speech separation 18 April 2022
- GBO notes: MVDR beamforming 12 April 2022
- GBO notes: Mask estimation for GSS 12 April 2022
- GBO notes: Variational Bayes and the VBx algorithm 10 April 2022
- GBO notes: Spectral clustering 08 April 2022
- GBO notes: i-vectors and x-vectors 07 April 2022
- GBO notes: Expectation Maximization 07 April 2022
- A round-up of linear transformers 11 July 2021
- My 3 takeaways from IEEE ICASSP 2021 15 June 2021
- On the evaluation of speaker diarization systems 05 March 2021
- Desh's curated list of ASR, diarization, and related papers from Interspeech 2020 30 October 2020
- Understanding the JHU CHiME-6 Submission - Part I (Enhancement) 01 June 2020
- How to use the pre-trained Librispeech model in Kaldi 18 May 2020
- The Challenges of using Transformers in ASR 08 January 2020
- Some interesting papers from ASRU 2019 19 December 2019
- Highlights from SANE 2019 30 October 2019
- A Reading List for Automatic Speech Recognition 28 October 2019
- ACL 2019: Notes from an ASR perspective 01 August 2019
- A note on MFCCs and delta features 26 July 2019
- On lattice free MMI and Chain models in Kaldi 21 May 2019
- Some Kaldi Things 27 March 2019
- Iterative Scaling and Coordinate Descent 10 December 2018
- Experiments with Subword Modeling 22 November 2018
- Award-winning classic papers in ML and NLP 30 August 2018
- Theory of Deep Learning: An Illustration with Embeddings 31 July 2018
- Theory of Deep Learning: Generative Models 30 July 2018
- Theory of Deep Learning: Role of Depth 28 July 2018
- Theory of Deep Learning: Generalization 27 July 2018
- Theory of Deep Learning: Optimization 26 July 2018
- Transfer Learning in NLP 15 June 2018
- Evaluation Methods for Dialog Systems 06 June 2018
- The 8 Commandments for Coding Your Research 23 May 2018
- An Introduction to Speech Recognition using WFSTs 23 April 2018
- How to Obtain Sentence Vectors 12 April 2018
- Online Learning of Word Embeddings 14 March 2018
- Sparsity in Online Learning with Lasso Regularization 24 February 2018
- A Short Note on Stochastic Gradient Descent Algorithms 08 February 2018
- Irony Detection in Tweets 07 February 2018
- Introduction to Learning Theory - Part 2 15 January 2018
- Introduction to Learning Theory - Part 1 15 January 2018
- Unsupervised Approaches for NMT 14 December 2017
- Beyond Euclidean Embeddings 06 December 2017
- Deep Learning for Multimodal Systems 09 November 2017
- Trends in Semantic Parsing - Part 2 07 November 2017
- The Best Papers at ICLR 2017 14 October 2017
- The Last 3 Years in Text Classification 01 October 2017
- Understanding Word Vectors 28 September 2017
- Trends in Semantic Parsing - Part 1 19 September 2017
- Metrics for NLG Evaluation 16 September 2017