Search Results for author: Gavin Mischler

Found 4 papers, 2 papers with code

Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain

no code implementations31 Jan 2024 Gavin Mischler, Yinghao Aaron Li, Stephan Bickel, Ashesh D. Mehta, Nima Mesgarani

We also compare the feature extraction pathways of the LLMs to each other and identify new ways in which high-performing models have converged toward similar hierarchical processing mechanisms.

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

1 code implementation NeurIPS 2023 Yinghao Aaron Li, Cong Han, Vinay S. Raghavan, Gavin Mischler, Nima Mesgarani

In this paper, we present StyleTTS 2, a text-to-speech (TTS) model that leverages style diffusion and adversarial training with large speech language models (SLMs) to achieve human-level TTS synthesis.

Speech Synthesis

naplib-python: Neural Acoustic Data Processing and Analysis Tools in Python

1 code implementation4 Apr 2023 Gavin Mischler, Vinay Raghavan, Menoua Keshishian, Nima Mesgarani

Recently, the computational neuroscience community has pushed for more transparent and reproducible methods across the field.

mvlearn: Multiview Machine Learning in Python

no code implementations25 May 2020 Ronan Perry, Gavin Mischler, Richard Guo, Theodore Lee, Alexander Chang, Arman Koul, Cameron Franz, Hugo Richard, Iain Carmichael, Pierre Ablin, Alexandre Gramfort, Joshua T. Vogelstein

As data are generated more and more from multiple disparate sources, multiview data sets, where each sample has features in distinct views, have ballooned in recent years.

BIG-bench Machine Learning

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