Search Results for author: Ankur Kumar

Found 7 papers, 1 papers with code

Improved Multi-Stage Training of Online Attention-based Encoder-Decoder Models

no code implementations28 Dec 2019 Abhinav Garg, Dhananjaya Gowda, Ankur Kumar, Kwangyoun Kim, Mehul Kumar, Chanwoo Kim

In this paper, we propose a refined multi-stage multi-task training strategy to improve the performance of online attention-based encoder-decoder (AED) models.

Language Modelling Multi-Task Learning

A review of on-device fully neural end-to-end automatic speech recognition algorithms

no code implementations14 Dec 2020 Chanwoo Kim, Dhananjaya Gowda, Dongsoo Lee, Jiyeon Kim, Ankur Kumar, Sungsoo Kim, Abhinav Garg, Changwoo Han

Conventional speech recognition systems comprise a large number of discrete components such as an acoustic model, a language model, a pronunciation model, a text-normalizer, an inverse-text normalizer, a decoder based on a Weighted Finite State Transducer (WFST), and so on.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

AI and conventional methods for UCT projection data estimation

no code implementations17 Aug 2021 Ankur Kumar, Prasunika Khare, Mayank Goswami

Other performance indices show that FFT method is processing the UCT signal with best recovery.

Specificity

Vision Transformer Compression with Structured Pruning and Low Rank Approximation

no code implementations25 Mar 2022 Ankur Kumar

We propose a hybrid compression approach to mitigate this where we compress the attention blocks using low rank approximation and use the previously mentioned pruning with a lower rate for feedforward blocks in each transformer layer.

Stateful Conformer with Cache-based Inference for Streaming Automatic Speech Recognition

1 code implementation27 Dec 2023 Vahid Noroozi, Somshubra Majumdar, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg

We also showed that training a model with multiple latencies can achieve better accuracy than single latency models while it enables us to support multiple latencies with a single model.

Automatic Speech Recognition speech-recognition +1

Cell Painting Gallery: an open resource for image-based profiling

no code implementations3 Feb 2024 Erin Weisbart, Ankur Kumar, John Arevalo, Anne E. Carpenter, Beth A. Cimini, Shantanu Singh

Image-based or morphological profiling is a rapidly expanding field wherein cells are "profiled" by extracting hundreds to thousands of unbiased, quantitative features from images of cells that have been perturbed by genetic or chemical perturbations.

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