Text to Audio Retrieval

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (20 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
  28 Mar 2025 2 repositories listed
  In the second stage, it learns CLAP features using the audio features learned from the LLM-based embeddings.
• InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
  22 Mar 2024 2 repositories listed
  We introduce InternVideo2, a new family of video foundation models (ViFM) that achieve the state-of-the-art results in video recognition, video-text tasks, and video-centric dialogue.
• VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
  29 May 2023 2 repositories listed Syntology ran 15 of 42 samples · 27 unverified
  Based on the proposed VAST-27M dataset, we train an omni-modality video-text foundational model named VAST, which can perceive and process vision, audio, and subtitle modalities from video, and better support various…
• ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
  18 May 2023 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  In this work, we explore a scalable way for building a general representation model toward unlimited modalities.
• OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
  1 Jul 2021 2 repositories listed
  In this paper, we propose an Omni-perception Pre-Trainer (OPT) for cross-modal understanding and generation, by jointly modeling visual, text and audio resources.
• Evaluation of pretrained language models on music understanding
  17 Sep 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We evaluated the triplet-based musical knowledge for six general-purpose Transformer-based models.
• Estimated Audio-Caption Correspondences Improve Language-Based Audio Retrieval
  21 Aug 2024 1 repository listed
  We evaluate our method on the ClothoV2 and the AudioCaps benchmark and show that it improves retrieval performance, even in a restricting self-distillation setting where a single model generates and then learns from the…
• The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
  16 Nov 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  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.
• Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets
  8 Aug 2023 1 repository listed
  This work presents a text-to-audio-retrieval system based on pre-trained text and spectrogram transformers.
• VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
  17 Apr 2023 1 repository listed
  Different from widely-studied vision-language pretraining models, VALOR jointly models relationships of vision, audio and language in an end-to-end manner.
• Cross Modal Retrieval with Querybank Normalisation
  23 Dec 2021 1 repository listed Syntology ran 2 of 3 samples · 1 unverified
  In this work we first show that, despite their effectiveness, state-of-the-art joint embeddings suffer significantly from the longstanding "hubness problem" in which a small number of gallery embeddings form the nearest…
• Audio Retrieval with Natural Language Queries: A Benchmark Study
  17 Dec 2021 1 repository listed
  Additionally, we introduce the SoundDescs benchmark, which consists of paired audio and natural language descriptions for a diverse collection of sounds that are complementary to those found in AudioCaps and Clotho.
• Audio Retrieval with Natural Language Queries
  5 May 2021 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  We consider the task of retrieving audio using free-form natural language queries.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.