output
20062026
most citedTransformers are RNNs: Fast Autoregressive Transformers with Linear Attention

310 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020 · eess.ASShow all

4 papers · 2 filters

eess.AS2020★ 12 cited

Novel Architectures for Unsupervised Information Bottleneck based Speaker Diarization of Meetings

Nauman Dawalatabad, Srikanth Madikeri, C. Chandra Sekhar +1

Speaker diarization is an important problem that is topical, and is especially useful as a preprocessor for conversational speech related applications. The objective of this paper…

eess.AS2020★ 5 cited

Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models

Srikanth Madikeri, Sibo Tong, Juan Zuluaga-Gomez +3

We present a simple wrapper that is useful to train acoustic models in PyTorch using Kaldi's LF-MMI training framework. The wrapper, called pkwrap (short form of PyTorch kaldi wrap…

eess.AS2020★ 2 cited

Quantization of Acoustic Model Parameters in Automatic Speech Recognition Framework

Amrutha Prasad, Petr Motlicek, Srikanth Madikeri

State-of-the-art hybrid automatic speech recognition (ASR) system exploits deep neural network (DNN) based acoustic models (AM) trained with Lattice Free-Maximum Mutual Information…

eess.AS2020★ 9 cited

iSEGAN: Improved Speech Enhancement Generative Adversarial Networks

Deepak Baby

Popular neural network-based speech enhancement systems operate on the magnitude spectrogram and ignore the phase mismatch between the noisy and clean speech signals. Conditional g…