4 citations · 8 across the 17 of their papers we have counts for
18 papers
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)…
Enhancing ASR Performance in the Medical Domain for Dravidian Languages
Sri Charan Devarakonda, Ravi Sastry Kolluru, Manjula Sri Rayudu +3
Automatic Speech Recognition (ASR) for low-resource Dravidian languages like Telugu and Kannada faces significant challenges in specialized medical domains due to limited annotated…
Using Deep Learning to Generate Semantically Correct Hindi Captions
Wasim Akram Khan, Anil Kumar Vuppala
Automated image captioning using the content from the image is very appealing when done by harnessing the capability of computer vision and natural language processing. Extensive r…
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…
Fairness in Dysarthric Speech Synthesis: Understanding Intrinsic Bias in Dysarthric Speech Cloning using F5-TTS
M Anuprabha, Krishna Gurugubelli, Anil Kumar Vuppala
Dysarthric speech poses significant challenges in developing assistive technologies, primarily due to the limited availability of data. Recent advances in neural speech synthesis,…
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…
A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information
Anuprabha M, Krishna Gurugubelli, V Kesavaraj +1
Automatic detection and severity assessment of dysarthria are crucial for delivering targeted therapeutic interventions to patients. While most existing research focuses primarily…
Typical vs. Atypical Disfluency Classification: Introducing the IIITH-TISA Corpus and Temporal Context-Based Feature Representations
Priyanka Kommagouni, Vamshiraghusimha Narasinga, Purva Barche +2
Speech disfluencies in spontaneous communication can be categorized as either typical or atypical. Typical disfluencies, such as hesitations and repetitions, are natural occurrence…
Matlab-based Epoch Extraction for Speaker Differentiation
Kunlun Li, Daniel Ferro, Xu Zhao +3
Epoch extraction has become increasingly popular in recent years for speech analysis research because accurately detecting the location of the Epoch is crucial for analyzing speech…
End-to-End User-Defined Keyword Spotting using Shifted Delta Coefficients
Kesavaraj V, Anuprabha M, Anil Kumar Vuppala
Identifying user-defined keywords is crucial for personalizing interactions with smart devices. Previous approaches of user-defined keyword spotting (UDKWS) have relied on short-te…
Open vocabulary keyword spotting through transfer learning from speech synthesis
Kesavaraj V, Anil Kumar Vuppala
Identifying keywords in an open-vocabulary context is crucial for personalizing interactions with smart devices. Previous approaches to open vocabulary keyword spotting dependon a…
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…
A language model based approach towards large scale and lightweight language identification systems
Brij Mohan Lal Srivastava, Hari Krishna Vydana, Anil Kumar Vuppala +1
Multilingual spoken dialogue systems have gained prominence in the recent past necessitating the requirement for a front-end Language Identification (LID) system. Most of the exist…