Audio Question Answering

5 papers with code • 2 benchmarks • 1 datasets

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Most implemented papers

XLNet: Generalized Autoregressive Pretraining for Language Understanding

zihangdai/xlnet NeurIPS 2019

With the capability of modeling bidirectional contexts, denoising autoencoding based pretraining like BERT achieves better performance than pretraining approaches based on autoregressive language modeling.

ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

OFA-Sys/ONE-PEACE 18 May 2023

In this work, we explore a scalable way for building a general representation model toward unlimited modalities.

Temporal Reasoning via Audio Question Answering

facebookresearch/daqa 21 Nov 2019

In this paper, we use the task of Audio Question Answering (AQA) to study the temporal reasoning abilities of machine learning models.

Pengi: An Audio Language Model for Audio Tasks

microsoft/pengi 19 May 2023

We introduce Pengi, a novel Audio Language Model that leverages Transfer Learning by framing all audio tasks as text-generation tasks.

Multi-Scale Attention for Audio Question Answering

gewu-lab/mwafm 29 May 2023

Audio question answering (AQA), acting as a widely used proxy task to explore scene understanding, has got more attention.