Search Results for author:
Found 8 papers, 1 papers with code
Exploring the Effect of Dialect Mismatched Language Models in Telugu Automatic Speech Recognition
Therefore, this degradation has an adverse effect on the ASR even when dialect-specific AM is used.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
IE-CPS Lexicon: An Automatic Speech Recognition Oriented Indian-English Pronunciation Dictionary
Due to this, automatic speech recognition (ASR) systems developed for American or British varieties of English result in poor performance on Indian English data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
An Investigation of Hybrid architectures for Low Resource Multilingual Speech Recognition system in Indian context
The reason for this is the fact that building an ASR system requires thousands of hours of annotated speech data, a vast amount of text, and a lexicon that can span all the words in the language.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accents
While previous approaches have focused on modeling techniques or creating accented speech datasets, gathering sufficient data for the multitude of accents, particularly in the African context, remains impractical due to their sheer diversity and associated budget constraints.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
MunTTS: A Text-to-Speech System for Mundari
We present MunTTS, an end-to-end text-to-speech (TTS) system specifically for Mundari, a low-resource Indian language of the Austo-Asiatic family.
AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR
To our knowledge, there is no publicly available research or benchmark on accented African clinical ASR, and speech data is non-existent for the majority of African accents.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents
We create a new multilingual benchmark, X-RiSAWOZ, by translating the Chinese RiSAWOZ to 4 languages: English, French, Hindi, Korean; and a code-mixed English-Hindi language.
SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT
Second language acquisition (SLA) research has extensively studied cross-linguistic transfer, the influence of linguistic structure of a speaker's native language [L1] on the successful acquisition of a foreign language [L2].
