[PDF][PDF] End-to-End Speech Recognition of Tamil Language.
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 …
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 …
group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo …
Improving end-to-end speech-to-intent classification with reptile
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 …
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) …
to their various advantages over textual interfaces. Spoken language understanding (SLU) …
Acoustics based intent recognition using discovered phonetic units for low resource languages
With recent advancements in language technologies, humans are now speaking to devices.
Increasing the reach of spoken language technologies requires building systems in local …
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 …
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
Intent Recognition and Slot Identification are crucial components in spoken language
understanding (SLU) systems. In this paper, we present a novel approach towards both …
understanding (SLU) systems. In this paper, we present a novel approach towards both …
ASR for Indian regional language using Nvidia's NeMo toolkit
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 …
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 …
entails dissecting the traits of the text or speech and contrasting them with recognized …
Creating Spoken Dialog Systems in Ultra-Low Resourced Settings
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 …
design a wide variety of applications, most notably, smart assistants, such as Alexa. ASR …