Gopala Krishna Anumanchipalli

According to our database1, Gopala Krishna Anumanchipalli authored at least 59 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Sylber: Syllabic Embedding Representation of Speech from Raw Audio.
CoRR, 2024

FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression.
CoRR, 2024

Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection.
CoRR, 2024

Re-Introducing LayerNorm: Geometric Meaning, Irreversibility and a Comparative Study with RMSNorm.
CoRR, 2024

Stutter-Solver: End-to-end Multi-lingual Dysfluency Detection.
CoRR, 2024

Fast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP.
CoRR, 2024

TinyAgent: Function Calling at the Edge.
CoRR, 2024

SSDM: Scalable Speech Dysfluency Modeling.
CoRR, 2024

YOLO-Stutter: End-to-end Region-Wise Speech Dysfluency Detection.
CoRR, 2024

Speech After Gender: A Trans-Feminine Perspective on Next Steps for Speech Science and Technology.
CoRR, 2024

Multimodal Segmentation for Vocal Tract Modeling.
CoRR, 2024

Articulatory Encodec: Vocal Tract Kinematics as a Codec for Speech.
CoRR, 2024

Is Bigger Edit Batch Size Always Better? - An Empirical Study on Model Editing with Llama-3.
CoRR, 2024

Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing.
CoRR, 2024

Identifying Multiple Personalities in Large Language Models with External Evaluation.
CoRR, 2024

Towards Hierarchical Spoken Language Dysfluency Modeling.
CoRR, 2024

Towards an Interpretable Representation of Speaker Identity via Perceptual Voice Qualities.
Proceedings of the IEEE International Conference on Acoustics, 2024

Enhancing GAN-based Vocoders with Contrastive Learning Under Data-Limited Condition.
Proceedings of the IEEE International Conference on Acoustics, 2024

Self-Supervised Models of Speech Infer Universal Articulatory Kinematics.
Proceedings of the IEEE International Conference on Acoustics, 2024

SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in Hubert.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Unified Framework for Model Editing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Self-Supervised Audio-Visual Soundscape Stylization.
Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Hierarchical Spoken Language Disfluency Modeling.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Model Editing at Scale leads to Gradual and Catastrophic Forgetting.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Unsupervised TTS Acoustic Modeling for TTS With Conditional Disentangled Sequential VAE.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Towards Streaming Speech-to-Avatar Synthesis.
CoRR, 2023

SD-HuBERT: Self-Distillation Induces Syllabic Organization in HuBERT.
CoRR, 2023

Investigating the Applicability of Self-Assessment Tests for Personality Measurement of Large Language Models.
CoRR, 2023

CiwaGAN: Articulatory information exchange.
CoRR, 2023

Deep Speech Synthesis from MRI-Based Articulatory Representations.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data.
Proceedings of the International Conference on Machine Learning, 2023

Speaker-Independent Acoustic-to-Articulatory Speech Inversion.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Fast and Accurate Pitch Estimation Algorithm Based on the Pseudo Wigner-Ville Distribution.
Proceedings of the IEEE International Conference on Acoustics, 2023

Articulatory Representation Learning via Joint Factor Analysis and Neural Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech.
Proceedings of the IEEE International Conference on Acoustics, 2023

Articulation GAN: Unsupervised Modeling of Articulatory Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Permod: Perceptually Grounded Voice Modification With Latent Diffusion Models.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Unconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
UTTS: Unsupervised TTS with Conditional Disentangled Sequential Variational Auto-encoder.
CoRR, 2022

Deep Speech Synthesis from Articulatory Representations.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Towards Improved Zero-shot Voice Conversion with Conditional DSVAE.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2019
Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings.
CoRR, 2019

2015
Universal grapheme-based speech synthesis.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2013
Text to speech in new languages without a standardized orthography.
Proceedings of the Eighth ISCA Tutorial and Research Workshop on Speech Synthesis, 2013

Analysis and modeling of "focus" in context.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

A style capturing approach to F0 transformation in voice conversion.
Proceedings of the IEEE International Conference on Acoustics, 2013

Accent Group modeling for improved prosody in statistical parameteric speech synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Intent transfer in speech-to-speech machine translation.
Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

Text-dependent pathological voice detection.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

2011
A Statistical Phrase/Accent Model for Intonation Modeling.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

2010
Improving speech synthesis for noisy environments.
Proceedings of the Seventh ISCA Tutorial and Research Workshop on Speech Synthesis, 2010

KLATTSTAT: knowledge-based parametric speech synthesis.
Proceedings of the Seventh ISCA Tutorial and Research Workshop on Speech Synthesis, 2010

Adaptation techniques for speech synthesis in under-resourced languages.
Proceedings of the 2nd Workshop on Spoken Language Technologies for Under-Resourced Languages, 2010

2008
Usefulness of text-conditioning and a new database for text-dependent speaker recognition research.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Significance of early tagged contextual graphemes in grapheme based speech synthesis and recognition systems.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Improving Pronunciation Inference using N-Best List, Acoustics and Orthography.
Proceedings of the IEEE International Conference on Acoustics, 2007


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