18 citations · 58 across the 30 of their papers we have counts for
6 papers · 1 filter
Lattice-Free MMI Adaptation Of Self-Supervised Pretrained Acoustic Models
Apoorv Vyas, Srikanth Madikeri, Hervé Bourlard
In this work, we propose lattice-free MMI (LFMMI) for supervised adaptation of self-supervised pretrained acoustic model. We pretrain a Transformer model on thousand hours of untra…
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…
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…
Speech Activity Detection Based on Multilingual Speech Recognition System
Seyyed Saeed Sarfjoo, Srikanth Madikeri, Petr Motlicek
To better model the contextual information and increase the generalization ability of Speech Activity Detection (SAD) system, this paper leverages a multi-lingual Automatic Speech…
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…
Graph2Speak: Improving Speaker Identification using Network Knowledge in Criminal Conversational Data
Mael Fabien, Seyyed Saeed Sarfjoo, Petr Motlicek +1
Criminal investigations mostly rely on the collection of speech conversational data in order to identify speakers and build or enrich an existing criminal network. Social network a…