The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …

In TV services, dialogue level personalization is key to meeting user preferences and needs.
When dialogue and background sounds are not separately available from the production …

Watching movies and TV shows with subtitles enabled is not simply down to audibility or
speech intelligibility. A variety of evolving factors related to technological advances, cinema …

In the era of data-driven Music Information Retrieval (MIR), the scarcity of labeled data has
been one of the major concerns to the success of an MIR task. In this work, we leverage the …

Cinematic audio source separation (CASS), as a problem of extracting the dialogue, music,
and effects stems from their mixture, is a relatively new subtask of audio source separation …

We show how to design a cheap system for detecting when music is present in audio
recordings. We make use of a small neural network consisting of a simple multilayer …

Music identification is widely regarded as a solved problem for music searching in quiet
environments, but its performance tends to degrade in TV broadcast audio owing to the …

We created a collection of speech data for 48 low resource languages. The corpus is
extracted from radio broadcasts and processed with novel speech detection and language …

In genres like Hip-Hop, RnB, Reggae, Dancehall and just about every
Electronic/Dance/Club style, DJ tools are a special set of audio files curated to heighten the …

초록 유사 방송 음악-대사 및 큐시트 데이터셋은 TV 방송에 삽입된 배경음악을 자동으로
식별하는 기술의 성능을 측정하기 위한 데이터셋으로써, 크게 세 가지 요소인 방송 오디오 …