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Monsoon: Scalable Spontaneous Speech Collection for Low-Resource ASR in 50 Languages

Paper recorded by Signals 4 on 2026-10-19 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-19 on arXiv · recorded by Signals 4 on 2026-10-20

Category: cs.CL · 自然语言处理 · first seen 2026-10-20

Abstract

For most languages, automatic speech recognition (ASR) is limited less by model architecture than by a lack of accurately transcribed spontaneous speech. We present Monsoon, a framework for collecting such data at scale. It elicits unscripted conversations between paired contributors, screens recordings with automated classifiers, corrects transcripts over five levels of human review, and selects

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#215 most recent of 660 cs.CL papers we have recorded · ↑ newer: RESIN: Multi-Chain Reasoning with Entity-Structured Indexing · ↓ older: recAMPLIFY: Large-Scale Pretraining of Recursive Protein Language Mode
Cite this page: Monsoon: Scalable Spontaneous Speech Collection for Low-Resource ASR in 50 Languages: the #215 most recent of 660 cs.CL papers we have recorded (as of 2026-10-19). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/monsoon-scalable-spontaneous-speech-collection-for-low-resource-asr-in-50-langua.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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