auditory
Datasets
All datasets matching “auditory”auditoryhum_supplementary
AuditoryHuM supplementary data
AuditoryHuM: Auditory Scene Label Generation and Clustering using Human-MLLM Collaboration.
This is the supplementary material used to generate the results in the paper.
The Keras models require the presence of https://www.kaggle.com/api/v1/models/google/yamnet/tensorFlow2/yamnet/1/download
Download yamnet-tensorflow2-yamnet-v1.tar.gz and extract this model to a directory named yamnet_model.
mkdir yamnet_model && tar -xvzf… See the full description on the dataset page: https://huggingface.co/datasets/hzhongresearch/auditoryhum_supplementary.AuditoryBench
Dataset
AuditoryBench
AuditoryBench is the first dataset aimed at evaluating language models' auditory knowledge. It comprises:
Animal Sound Recognition: Predict the animal based on an onomatopoeic sound (e.g., "meow").
Sound Pitch Comparison: Compare the pitch of different sound sources.
Animal Sound Recognition
animal: The name of the animal that the sound corresponds to (e.g., cat).
description: Description of the animal sound (e.g., meow).
sentence: A sentence… See the full description on the dataset page: https://huggingface.co/datasets/HJOK/AuditoryBench.auditory-skills-test2The purpose of this project is to build a dataset and model to enable an AI powered diagnostic tool that assesses a child's auditory skills and recommends resources and therapies that can bring them to the next stage. The primary user base of this tool is intended to be the parents of a child with hearing loss however it is the hope of the creators of this tool that speech and language pathologists (SLPs) and other early intervention and pediatric practitioners can find use.
The model uses a… See the full description on the dataset page: https://huggingface.co/datasets/aarnow/auditory-skills-test2.AuditoryBenchpp
AuditoryBench++
AuditoryBench++ is a benchmark designed to evaluate auditory commonsense knowledge and reasoning abilities of language models without requiring direct audio input.Humans can effortlessly reason about sounds (e.g., pitch, loudness, or animal-sound associations) even without hearing them. In contrast, language models often lack such capabilities, limiting their effectiveness in multimodal interaction.
This benchmark provides a systematic way to measure whether LLMs… See the full description on the dataset page: https://huggingface.co/datasets/HJOK/AuditoryBenchpp.auditory-skills-testThe purpose of this project is to build a dataset and model to enable an AI powered diagnostic tool that assesses a child's auditory skills and recommends resources and therapies that can bring them to the next stage. The primary user base of this tool is intended to be the parents of a child with hearing loss however it is the hope of the creators of this tool that speech and language pathologists (SLPs) and other early intervention and pediatric practitioners can find use.
The model uses… See the full description on the dataset page: https://huggingface.co/datasets/aarnow/auditory-skills-test.auditory_eeg_decoding