4 citations · 8 across the 17 of their papers we have counts for
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VākQA: A Benchmark and Evaluation Study for Telugu Spoken Factoid Question Answering
Bhavana Akkiraju, Ravi Sastry Kolluru, Sri Charan D +3
Question answering has advanced rapidly with large language models, but predominantly for high-resource languages, in both text and spoken settings. Spoken question answering (SQA)…
Efficient ASR for Low-Resource Languages: Leveraging Cross-Lingual Unlabeled Data
Srihari Bandarupalli, Bhavana Akkiraju, Charan Devarakonda +2
Automatic speech recognition for low-resource languages remains fundamentally constrained by the scarcity of labeled data and computational resources required by state-of-the-art m…
TeluguST-46: A Benchmark Corpus and Comprehensive Evaluation for Telugu-English Speech Translation
Bhavana Akkiraju, Srihari Bandarupalli, Swathi Sambangi +3
Despite Telugu being spoken by over 80 million people, speech translation research for this morphologically rich language remains severely underexplored. We address this gap by dev…
End-to-End Speech Translation for Low-Resource Languages Using Weakly Labeled Data
Aishwarya Pothula, Bhavana Akkiraju, Srihari Bandarupalli +3
The scarcity of high-quality annotated data presents a significant challenge in developing effective end-to-end speech-to-text translation (ST) systems, particularly for low-resour…
IIITH-BUT system for IWSLT 2025 low-resource Bhojpuri to Hindi speech translation
Bhavana Akkiraju, Aishwarya Pothula, Santosh Kesiraju +1
This paper presents the submission of IIITH-BUT to the IWSLT 2025 shared task on speech translation for the low-resource Bhojpuri-Hindi language pair. We explored the impact of hyp…
A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings
Anindita Mondal, Rangavajjala Sankara Bharadwaj, Jhansi Mallela +2
Automatic detection of prominence at the word and syllable-levels is critical for building computer-assisted language learning systems. It has been shown that prosody embeddings le…
Attempt Towards Stress Transfer in Speech-to-Speech Machine Translation
Sai Akarsh, Vamshi Raghusimha, Anindita Mondal +1
The language diversity in India's education sector poses a significant challenge, hindering inclusivity. Despite the democratization of knowledge through online educational content…
An Investigation of Indian Native Language Phonemic Influences on L2 English Pronunciations
Shelly Jain, Priyanshi Pal, Anil Vuppala +2
Speech systems are sensitive to accent variations. This is especially challenging in the Indian context, with an abundance of languages but a dearth of linguistic studies character…
Study of Indian English Pronunciation Variabilities relative to Received Pronunciation
Priyanshi Pal, Shelly Jain, Anil Vuppala +2
Analysis of Indian English (IE) pronunciation variabilities are useful in building systems for Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) synthesis in the Indian c…