Search Results for author:
Found 6 papers, 2 papers with code
WikiMuTe: A web-sourced dataset of semantic descriptions for music audio
The model is evaluated on two tasks: tag-based music retrieval and music auto-tagging.
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
We introduce the Song Describer dataset (SDD), a new crowdsourced corpus of high-quality audio-caption pairs, designed for the evaluation of music-and-language models.
Data leakage in cross-modal retrieval training: A case study
In our experiments, we find that the new splits serve as a more challenging benchmark.
Matching Text and Audio Embeddings: Exploring Transfer-learning Strategies for Language-based Audio Retrieval
We present an analysis of large-scale pretrained deep learning models used for cross-modal (text-to-audio) retrieval.
Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning
Having attracted attention only recently, very few works on AAC study the performance of existing pre-trained audio and natural language processing resources.
GLAD: Groningen Lightweight Authorship Detection
We present a simple and effective approach to authorship verification for Dutch, English, Spanish and Greek, which can be easily ported to yet other languages. We train a binary linear classifier both on the features describing known and unknown documents individually, and on the joint features comparing these two types of documents.
