Search Results for author:
Found 6 papers, 1 papers with code
ChildAugment: Data Augmentation Methods for Zero-Resource Children's Speaker Verification
One promising approach is to align vocal-tract parameters between adults and children through children-specific data augmentation, referred here to as ChildAugment.
Speaker Verification Across Ages: Investigating Deep Speaker Embedding Sensitivity to Age Mismatch in Enrollment and Test Speech
The first dataset, used for addressing short-term ageing (up to 10 years time difference between enrollment and test) under uncontrolled conditions, is VoxCeleb.
Spectral Modification Based Data Augmentation For Improving End-to-End ASR For Children's Speech
Then, this modified adult spectrum is used as augmented data to improve end-to-end ASR systems for children's speech recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
A Mixture of Expert Based Deep Neural Network for Improved ASR
This paper presents a novel deep learning architecture for acoustic model in the context of Automatic Speech Recognition (ASR), termed as MixNet.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
A higher order Minkowski loss for improved prediction ability of acoustic model in ASR
In this paper we have proposed higher order minkowski loss (4th Order and 6th Order) during inference time, without any changes during training time.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
SRIB Submission to Interspeech 2021 DiCOVA Challenge
The COVID-19 pandemic has resulted in more than 125 million infections and more than 2. 7 million casualties.
