activity
20162025
most citedWaveNet: A Generative Model for Raw Audio

3.6k citations · 4.6k across the 35 of their papers we have counts for

collaborators

36 papers

cs.CL2025★ 49 cited

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…

cs.SD2025

ReverbMiipher: Generative Speech Restoration meets Reverberation Characteristics Controllability

Wataru Nakata, Yuma Koizumi, Shigeki Karita +5

Reverberation encodes spatial information regarding the acoustic source environment, yet traditional Speech Restoration (SR) usually completely removes reverberation. We propose Re…

cs.SD2025

Miipher-2: A Universal Speech Restoration Model for Million-Hour Scale Data Restoration

Shigeki Karita, Yuma Koizumi, Heiga Zen +3

Training data cleaning is a new application for generative model-based speech restoration (SR). This paper introduces Miipher-2, an SR model designed for million-hour scale data, f…

cs.LG2024

Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback

Hiroki Furuta, Heiga Zen, Dale Schuurmans +4

Large text-to-video models hold immense potential for a wide range of downstream applications. However, they struggle to accurately depict dynamic object interactions, often result…

cs.LG2024

Geometric-Averaged Preference Optimization for Soft Preference Labels

Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu +4

Many algorithms for aligning LLMs with human preferences assume that human preferences are binary and deterministic. However, human preferences can vary across individuals, and the…

cs.CL2024

FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasks

Min Ma, Yuma Koizumi, Shigeki Karita +4

This paper introduces FLEURS-R, a speech restoration applied version of the Few-shot Learning Evaluation of Universal Representations of Speech (FLEURS) corpus. FLEURS-R maintains…