[PDF][PDF] End-to-End Speech Recognition of Tamil Language.

MH Changrampadi, A Shahina… - … Automation & Soft …, 2022 - cdn.techscience.cn
Research in speech recognition is progressing with numerous state-ofthe-art results in
recent times. However, relatively fewer research is being carried out in Automatic Speech …

Survey on publicly available sinhala natural language processing tools and research

N De Silva - arxiv preprint arxiv:1906.02358, 2019 - arxiv.org
Sinhala is the native language of the Sinhalese people who make up the largest ethnic
group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo …

Improving end-to-end speech-to-intent classification with reptile

Y Tian, PJ Gorinski - arxiv preprint arxiv:2008.01994, 2020 - arxiv.org
End-to-end spoken language understanding (SLU) systems have many advantages over
conventional pipeline systems, but collecting in-domain speech data to train an end-to-end …

On building spoken language understanding systems for low resourced languages

A Gupta - arxiv preprint arxiv:2205.12818, 2022 - arxiv.org
Spoken dialog systems are slowly becoming and integral part of the human experience due
to their various advantages over textual interfaces. Spoken language understanding (SLU) …

Acoustics based intent recognition using discovered phonetic units for low resource languages

A Gupta, X Li, SK Rallabandi… - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
With recent advancements in language technologies, humans are now speaking to devices.
Increasing the reach of spoken language technologies requires building systems in local …

Low resource multi-asr speech command recognition

I Mohamed, U Thayasivam - 2022 Moratuwa Engineering …, 2022 - ieeexplore.ieee.org
There are several applications when comes to spoken language understanding (SLU) such
as topic identification and intent detection. One of the primary underlying components used …

Intent recognition and unsupervised slot identification for low-resourced spoken dialog systems

A Gupta, O Deng, A Kushwaha, S Mittal… - 2021 IEEE Automatic …, 2021 - ieeexplore.ieee.org
Intent Recognition and Slot Identification are crucial components in spoken language
understanding (SLU) systems. In this paper, we present a novel approach towards both …

ASR for Indian regional language using Nvidia's NeMo toolkit

P Ghadekar, K Jhanwar, A Sivanandan… - AIP Conference …, 2023 - pubs.aip.org
Recent technologies have progressed to a huge success in the field of speech recognition
and natural language processing. However, this is not the case for low-resourced …

Automatic Language Identification from Non-Uniform Region Using Bi-LSTM and CNN

MR Karthika, A George - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Language Identification is the way to identify the language of a speech or text sample. It
entails dissecting the traits of the text or speech and contrasting them with recognized …

Creating Spoken Dialog Systems in Ultra-Low Resourced Settings

M Elamin, M Omer, Y Chanie, H Ndlovu - arxiv preprint arxiv:2312.06266, 2023 - arxiv.org
Automatic Speech Recognition (ASR) systems are a crucial technology that is used today to
design a wide variety of applications, most notably, smart assistants, such as Alexa. ASR …