research
∙
06/14/2023
Towards training Bilingual and Code-Switched Speech Recognition models from Monolingual data sources
Multilingual Automatic Speech Recognition (ASR) models are capable of tr...
share
research
∙
05/08/2023
Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition
Conformer-based models have become the most dominant end-to-end architec...
research
∙
02/27/2023
Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator
We propose an end-to-end ASR system that can be trained on transcribed s...
research
∙
11/09/2022
Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models
In this paper, we extend previous self-supervised approaches for languag...
research
∙
10/27/2022
AmberNet: A Compact End-to-End Model for Spoken Language Identification
We present AmberNet, a compact end-to-end neural network for Spoken Lang...
research
∙
06/09/2022
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
Despite recent progress in generative adversarial network(GAN)-based voc...
research
∙
03/30/2022
Multi-scale Speaker Diarization with Dynamic Scale Weighting
Speaker diarization systems are challenged by a trade-off between the te...
research
∙
10/06/2021
CTC Variations Through New WFST Topologies
This paper presents novel Weighted Finite-State Transducer (WFST) topolo...
research
∙
04/16/2021
TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction
We propose TalkNet, a non-autoregressive convolutional neural model for ...
research
∙
03/31/2017
