70 citations · 151 across the 20 of their papers we have counts for
8 papers · 1 filter
MagpieTTS-LF: Inference-Time Long-Form Speech Generation Without Training on Long-Form data
Subhankar Ghosh, Jason Li, Paarth Neekhara +4
Neural Text-to-Speech (TTS) systems achieve remarkable quality on short utterances but long-form speech generation shows prosodic drift, speaker inconsistencies and sentence bounda…
Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free Guidance
Shehzeen Hussain, Paarth Neekhara, Xuesong Yang +6
While autoregressive speech token generation models produce speech with remarkable variety and naturalness, their inherent lack of controllability often results in issues such as h…
Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment
Paarth Neekhara, Shehzeen Hussain, Subhankar Ghosh +4
Large Language Model (LLM) based text-to-speech (TTS) systems have demonstrated remarkable capabilities in handling large speech datasets and generating natural speech for new spea…
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
Paarth Neekhara, Shehzeen Hussain, Rafael Valle +5
We propose SelfVC, a training strategy to iteratively improve a voice conversion model with self-synthesized examples. Previous efforts on voice conversion focus on factorizing spe…
ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations
Shehzeen Hussain, Paarth Neekhara, Jocelyn Huang +2
In this work, we propose a zero-shot voice conversion method using speech representations trained with self-supervised learning. First, we develop a multi-task model to decompose a…
Adapting TTS models For New Speakers using Transfer Learning
Paarth Neekhara, Jason Li, Boris Ginsburg
Training neural text-to-speech (TTS) models for a new speaker typically requires several hours of high quality speech data. Prior works on voice cloning attempt to address this cha…
Expressive Neural Voice Cloning
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov +2
Voice cloning is the task of learning to synthesize the voice of an unseen speaker from a few samples. While current voice cloning methods achieve promising results in Text-to-Spee…
Expediting TTS Synthesis with Adversarial Vocoding
Paarth Neekhara, Chris Donahue, Miller Puckette +2
Recent approaches in text-to-speech (TTS) synthesis employ neural network strategies to vocode perceptually-informed spectrogram representations directly into listenable waveforms.…