Multi-conditioning and data augmentation using generative noise model for speech emotion recognition in noisy conditions
Degradation due to additive noise is a significant road block in the real-life deployment of
Speech Emotion Recognition (SER) systems. Most of the previous work in this field dealt …
Speech Emotion Recognition (SER) systems. Most of the previous work in this field dealt …
Towards building an automatic transcription system for language documentation: Experiences from muyu
A Zahrer, A Žgank, B Schuppler - Proceedings of the Twelfth …, 2020 - aclanthology.org
Since at least half of the world's 6000 plus languages will vanish during the 21st century,
language documentation has become a rapidly growing field in linguistics. A fundamental …
language documentation has become a rapidly growing field in linguistics. A fundamental …
Improved language models for ASR using written language text
K Mukherji, M Pandharipande… - … National Conference on …, 2022 - ieeexplore.ieee.org
The performance of an Automatic Speech Recognition (ASR) engine primarily depends on
(a) the acoustic model (AM),(b) the language model (LM) and (c) the lexicon (Lx), While the …
(a) the acoustic model (AM),(b) the language model (LM) and (c) the lexicon (Lx), While the …
[PDF][PDF] Reinforcement Learning based Data Augmentation for Noise Robust Speech Emotion Recognition
Speech emotion recognition (SER) is an indispensable component of any human machine
interactions, and enables building empathetic voice user interfaces. Ability to accurately …
interactions, and enables building empathetic voice user interfaces. Ability to accurately …
Generalized SpecAugment: Robust Online Augmentation Technique for End-to-End Automatic Speech Recognition
M Soni, A Panda, SK Kopparapu - 2024 Asia Pacific Signal …, 2024 - ieeexplore.ieee.org
Since its introduction, SpecAugment has become a default augmentation technique in many
End-to-End Automatic Speech Recognition systems. It is computationaly efficient and …
End-to-End Automatic Speech Recognition systems. It is computationaly efficient and …
Acoustic model adaptation in noisy and reverberated scenarios using multi-task learned embeddings
Distortions, such as revebererations and background noise in an acoustic environment pose
a significant challenge for large-scale Automatic Speech Recognition (ASR) systems. In this …
a significant challenge for large-scale Automatic Speech Recognition (ASR) systems. In this …
Enhancing Speech In Noisy Environment: A Review
NSD Ganta, VK Mittal - 2021 IEEE Region 10 Symposium …, 2021 - ieeexplore.ieee.org
Speech signal is the primary mode of communication amongst humans. It is also used for
the communication between human and machine, ie, human-machine interaction (IoTs) …
the communication between human and machine, ie, human-machine interaction (IoTs) …
[PDF][PDF] DE-STT: DE-ENTAGLEMENT OF UNWANTED NUISANCES AND BIASES IN SPEECH TO TEXT SYSTEM USING ADVERSARIAL FORGETTING
ABSTRACT Training robust Speech to Text (STT) system require “tens of thousand” of hours
of data. Variability present in the dataset, in the form of unwanted nuisances (noise) and …
of data. Variability present in the dataset, in the form of unwanted nuisances (noise) and …
[PDF][PDF] Pipeline for XAI based Automatic Audio Call Audit
In this paper, we describe an industry grade, functional, automatic explainable audit system
for service desk call conversations. Often these interactions are laced by the various …
for service desk call conversations. Often these interactions are laced by the various …