English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Data-driven speech processing models usually perform well with a large amountof text supervision, but collecting transcribed speech data is costly.Therefore, we propose SpeechCLIP, a novel framework bridging speech and textthrough images to enhance speech models without transcriptions. We leveragestate-of-the-art pre-trained HuBERT and CLIP, aligning them via paired imagesand spoken captions with minimal fine-tuning. SpeechCLIP outperforms priorstate-of-the-art on image-speech retrieval and performs zero-shot speech-textretrieval without direct supervision from transcriptions. Moreover, SpeechCLIPcan directly retrieve semantically related keywords from speech.

SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model