Paper page - ChildVox: A Speech, Audio, and Large Audio-Language Model Benchmark in Understanding and Characterizing Sound across Childhood

Source: https://huggingface.co/papers/2605.29257 Authors:

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Abstract

ChildVox presents a comprehensive benchmark for analyzing children’s acoustic communication across developmental stages using diverse audio and speech models.

We present ChildVox, a novel benchmark for characterizing the diverse acoustic signals through which children communicate. Specifically, ChildVox follows the full developmental trajectory from birth through school age, covering physiological sounds, non-linguistic vocalizations, canonical syllables, and spoken language. ChildVox integrates more than 20 sub-tasks across 17 child-centered audio and speech datasets, enabling systematic cross-corpus and cross-domain comparison. We evaluate a representative range ofaudio and speech foundation models, including self-supervised, ASR-oriented, andlarge audio-language models, on tasks includingphysiological sound classification, vocalization andcanonical syllables modeling, andspeech quality assessmentand recognition. Benchmark results show that ChildVox provides a suite of high-performance models in recognizing a wide range of acoustic signals from children, supporting downstream applications such as characterizing children’s language levels and tracking speech production with age.

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