DeepWave applied AI technology in audio processing to save time and errors in production.
DeepWave is passionate about AI applications in music entertainment. We hope to leverage machine automation to relieve human workloads, thereafter to create for users a brand-new aural delight.
Music / voice source separation technology precisely distinguishes human voice and background music in separate tracks.
Automatic align subtitles to lyrics and rhythm correspondingly, it helps to reduce time wasted in manual input.
Algorithm that trained by songs ables to recognize human voice and turns it to MIDI sequeance. This can be used as a basis for singing scoring as well.
By humming a tune or singing a song, our algorithm ables to retrieve that particular song in database.
DeepWave extended its beat and intonation identification technology to singing skills grading by detecting the similarity between contestants and original singer. Other than that, vocal teachers and learners could also visualise their singing problems and make improvement pertinently.
DeepWave’s algorithm could restore/modify singer's pitch perfect instantly. It makes singers and listeners enchanting the song well at the same time.
The data management function will category the songs automatically once the genre classification has developed. It reliefs the management concern.
Licensing singing voice separation, vocal to MIDI, and lyrics alignment for content generation.
Provide singing voice separation API for connection and help client to expand their Karaoke library.
Provide music related information collection, soritng, and comparison services.
SOVIA is DeepWave's proudly trained voice /music separation AI model, which has been recognized by MIREX awards. SOVIA can easily separate vocal and music from a song to let people enjoy the feast of music that they never had before.
Provide singing skills scoring technology and related services to assist OCAC in organizing Overseas Compatriot School Students and Overseas Compatriot Students Studying in Taiwan singing competition, its objective to promote Mandarin, Hakka and Hokkien languages.