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20222026
most citedA Review of Deep Learning Techniques for Speech Processing

22 citations · 44 across the 20 of their papers we have counts for

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cs.SD2026

DEFINE: Exemplar-Guided Accent Control for Zero-Shot TTS

Ambuj Mehrish, Abhinaba Roy, Alex Ivanov +2

Zero-shot text-to-speech (TTS) can reproduce an unseen speaker from a short reference recording, but typically entangles speaker identity and accent within the same reference. We i…

cs.SD2026

RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction

Ambuj Mehrish, Sebastiano Vascon

Brain-to-audio reconstruction is limited by \emph{prior domination}: when a pretrained generator is conditioned on a weak neural signal, it produces realistic but stimulus-inaccura…

cs.SD2025

SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering

Jan Melechovsky, Ambuj Mehrish, Abhinaba Roy +1

Music recordings often suffer from audio quality issues such as excessive reverberation, distortion, clipping, tonal imbalances, and a narrowed stereo image, especially when create…

cs.SD2025

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control

Shaozuo Zhang, Ambuj Mehrish, Yingting Li +1

Speech synthesis has significantly advanced from statistical methods to deep neural network architectures, leading to various text-to-speech (TTS) models that closely mimic human s…

cs.SD2024

TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization

Chia-Yu Hung, Navonil Majumder, Zhifeng Kong +6

We introduce TangoFlux, an efficient Text-to-Audio (TTA) generative model with 515M parameters, capable of generating up to 30 seconds of 44.1kHz audio in just 3.7 seconds on a sin…

cs.SD2024

CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models

Xiang Li, Fan Bu, Ambuj Mehrish +4

Neural Text-to-Speech (TTS) systems find broad applications in voice assistants, e-learning, and audiobook creation. The pursuit of modern models, like Diffusion Models (DMs), hold…

cs.SD2023

ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation

Ambuj Mehrish, Abhinav Ramesh Kashyap, Li Yingting +2

There are significant challenges for speaker adaptation in text-to-speech for languages that are not widely spoken or for speakers with accents or dialects that are not well-repres…