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English(EN) AI-Based Sound Effect Generation: A Narrative Review of Generative Models Across Input Modalities

AI生成模型用于音效合成的综述

arXiv上发表的一篇最新综述论文,考察了基于AI的音效生成模型的进展。该论文分析了过去五年中的30篇同行评审文章,重点关注文本、视觉和音频等不同输入模态如何影响生成音效的质量和相关性。尽管当前模型在保真度和语义对齐方面表现出色,但在复杂场景下的时间同步以及弥合客观指标与人类感知之间的差距方面仍存在挑战。 AI

影响 本次综述强调了AI驱动的音效设计方面的进展,预示着未来的工作流程将更具适应性和情境感知能力。

排序理由 该集群包含一篇详细介绍研究成果的同行评审学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI生成模型用于音效合成的综述

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群包含一篇详细介绍研究成果的同行评审学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
64 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sandy Abdo, Bill Kapralos, Priyamvada Tripathi, KC Collins, Adam Dubrowski ·

    基于AI的音效生成:跨输入模态生成模型的叙事性综述

    arXiv:2608.03742v1 Announce Type: cross Abstract: Sound effects play a crucial role in conveying actions, events, and environmental cues across digital applications, often requiring a high degree of variation and contextual adaptability. Artificial intelligence (AI)-driven audio …