Intro
We’re the Operating System for the Music Industry. A platform that pumps up the jam of every play.
Over the last 15 years, we’ve grown from a tech hub, to a TV and radio music tracking company to a data company making sure artists get paid for every play. We’re currently helping over 4746 leading music companies to amplify the value of music, delivering 27 billion matches and 92 million identifications every month.
Yesterday’s papers
MBW – IFPI rolls out Official Southeast Asia Charts, including new charts for Philippines and Vietnam
Billboard – Voice-Swap and BMAT Launch New Technical Certification for AI Models
Music Ally – Voice-Swap and BMAT to certify AI music models’ training data
Via Empresa – BMAT, la tecnologia que dignifica la indústria musical
France Digitale – LETS 2023, the mapping of 135 Leading European Tech Scale-ups that are succeeding globally
Emprendedores – Las 10 ‘scaleups’ españolas que más se valoran en Europa
Barcelona City Council – Dismantling myths surrounding the transformation of working time
Info Barcelona – 3 Barcelona companies win awards for work-life balance
Noudiari – Las discotecas dispondrán de tecnología para identificar la propiedad intelectual de toda su música
La Vanguardia – El ocio nocturno y BMAT ponen en marcha un sistema para reconocer la música que suena en discotecas
PROMAX – BMAT Music Innovators Acquires Manage Ad Music
A&R WORLDWIDE – Manage Ad Music (MAM) has been acquired by BMAT Music Innovators
Variety – Use of Production Music on Broadcast and Cable TV Reaches New Heights: Study
Music Ally – Commercial tracks are only 7% of music used for US television
medianews4u.com – The rising importance of production music
360 upf. – Inteligencia artificial (IA), enseñar a las máquinas a pensar como los humanos
MusicTech – This Royalties Calculator lets you know what your favourite artists are earning from streaming
RouteNote – Use this new royalties calculator to work out how much your music streams are worth
Hypebot – Free streaming royalty calculator estimates what any artist earns
Music in Africa – BMAT backs new music streaming royalties calculator
Billboard – India Launches International Singles Chart
Credits Due – Worldwide support for creators
RouteNote – BMAT offers scholarships to IMB for the next generation of talent in the music business
Music Instrument News – BMAT Offers 30 talent Scholarships to Aspiring Music Biz Innovation Leaders
Platform & Stream – BMAT to Help Aspiring Music Biz Leaders
Music Connection – Apply to BMAT Music Innovators Scholarships
Billboard – India’s Music Industry Charts Its Future as It Eyes Bigger Share of Global Market
MBW – IFPI Launches ‘Transformative’ Shared System for Performance Rights Revenue Distribution in Asia
El Confidencial – Estos algoritmos cuentan las veces que suena una canción para pagar derechos de autor
EurekAlert! – Artificial intelligence to determine which music broadcast on TV is subject to copyright
Music Ally – IFPI’s SoundSys tackles performance rights revenue distribution
Forbes – Blockchain Powered Initiative Pays Musicians In Two Hours Rather Than Two Years
Radio World – Relationships Are Why Radio’s Future Promises to Be Strong
DJ Mag – Producers are losing millions in royalties every year – here’s what you can do about it
Summus is a Latin word that describes the greatness of things. In our case, it’s a summit we organise every year to honour the greatness of music.
It's a place where we meet with friends and share the lessons we learnt or discuss today’s challenges.
Awards
In 2023, we were recognised as one of 135 Leading European Tech Scale-ups (LETS) that are succeeding globally to stand out for our international reach and the sustainability of our business model.
Awards
In 2018, MIREX -the most important international competition of MIR (Music Information Retrieval) algorithms- recognised our music detection algorithm as the best in the field, with accuracy 10 percentage points higher than the algorithm in second place. In 2019, our first position was reestablished as we presented 2 new algorithms and they both obtained better results in comparison to the algorithm submitted in 2018.
Awards
BMAT was appointed as ‘Key Innovator’ by the European Commission’s Innovation Radar for the developments in the H2020 Bloomen project: Blockchain technology will be used to provide copyright protection of media content.
Publications
Kapsoulis, Nikolaos; Psychas, Alexandros; Palaiokrassas, Georgios; Marinakis, Achilleas; Litke, Antonios; Varvarigou, Theodora; Bouchlis, Charalampos; Raouzaiou, Amaryllis; Calvo, Gonçal; Escudero Subirana, Jordi. 2020. “Consortium Blockhain Smart Contracts for Musical Rights Governance in a Collective Management Organizations (CMOs) Use Case“
Future internet 12, no. 8: 134.
Publications
Meléndez-Catalán, B. Molina, E., and Gómez, E. (2017). “BAT: an open-source web-based audio-events annotation tool“.
3rd Web Audio Conference
Meléndez-Catalán, B. Molina, E., and Gómez, E. (2019b). “Open broadcast media audio from TV: A dataset of TV broadcast audio with relative music loudness annotations“.
Transactions of the International Society for Music Information Retrieval
Meléndex-Catalán, B. Molina, E., and Gómez, E. (2020). “Relative music loudness estimation, using temporal convolutional networks and a CNN feature extraction front-end“.
In Proceedings of the 23rd International Conference on Digital Audio Effects (DAFx-20), volume 5, pages 273-280.
Meléndez-Catalán, B. (2021) “Relative Music Loudness Estimation in TV Broadcast Audio Using Deep Learning: An industrial perspective”.
Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.
G. Cortès, Álex Ciurana, Emilio Molina, Marius Miron, Owen Meyers, Joren Six and Xavier Serra. “BAF: An Audio Fingerprinting Dataset For Broadcast Monitoring”.
In Proc. of the 23rd Int. Soc. for Music Information Retrieval Conf. (ISMIR), Bangalore, India, 2022 [dataset, Github]
Publications
F. Yesiler, E. Molina, J. Serrà, and E. Gómez., “Investigating the efficacy of music version retrieval systems for setlist identification”, in Proceedings of the 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), 2021.
Publications
Roser Batlle-Roca, Perfecto Herrera-Boyer, Blai Meléndez, Emilio Molina and Xavier Serra. “Towards a Characterization of Background Music Audibility in Broadcasted TV” in International Journal of Environmental Research and Public Health, Special Issue Speech Communication in Complex Auditory Scenes and Effects on Voice Behaviour and Health, Listening Comfort, Well-Being, and Learning.
Awards
In 2023, we were recognised as one of 135 Leading European Tech Scale-ups (LETS) that are succeeding globally to stand out for our international reach and the sustainability of our business model.
Awards
In 2018, MIREX -the most important international competition of MIR (Music Information Retrieval) algorithms- recognised our music detection algorithm as the best in the field, with accuracy 10 percentage points higher than the algorithm in second place. In 2019, our first position was reestablished as we presented 2 new algorithms and they both obtained better results in comparison to the algorithm submitted in 2018.
Awards
BMAT was appointed as ‘Key Innovator’ by the European Commission’s Innovation Radar for the developments in the H2020 Bloomen project: Blockchain technology will be used to provide copyright protection of media content.
Publications
Kapsoulis, Nikolaos; Psychas, Alexandros; Palaiokrassas, Georgios; Marinakis, Achilleas; Litke, Antonios; Varvarigou, Theodora; Bouchlis, Charalampos; Raouzaiou, Amaryllis; Calvo, Gonçal; Escudero Subirana, Jordi. 2020. “Consortium Blockhain Smart Contracts for Musical Rights Governance in a Collective Management Organizations (CMOs) Use Case“
Future internet 12, no. 8: 134.
Publications
Meléndez-Catalán, B. Molina, E., and Gómez, E. (2017). “BAT: an open-source web-based audio-events annotation tool“.
3rd Web Audio Conference
Meléndez-Catalán, B. Molina, E., and Gómez, E. (2019b). “Open broadcast media audio from TV: A dataset of TV broadcast audio with relative music loudness annotations“.
Transactions of the International Society for Music Information Retrieval
Meléndex-Catalán, B. Molina, E., and Gómez, E. (2020). “Relative music loudness estimation, using temporal convolutional networks and a CNN feature extraction front-end“.
In Proceedings of the 23rd International Conference on Digital Audio Effects (DAFx-20), volume 5, pages 273-280.
Meléndez-Catalán, B. (2021) “Relative Music Loudness Estimation in TV Broadcast Audio Using Deep Learning: An industrial perspective”.
Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.
G. Cortès, Álex Ciurana, Emilio Molina, Marius Miron, Owen Meyers, Joren Six and Xavier Serra. “BAF: An Audio Fingerprinting Dataset For Broadcast Monitoring”.
In Proc. of the 23rd Int. Soc. for Music Information Retrieval Conf. (ISMIR), Bangalore, India, 2022 [dataset, Github]
Publications
F. Yesiler, E. Molina, J. Serrà, and E. Gómez., “Investigating the efficacy of music version retrieval systems for setlist identification”, in Proceedings of the 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), 2021.
Publications
Roser Batlle-Roca, Perfecto Herrera-Boyer, Blai Meléndez, Emilio Molina and Xavier Serra. “Towards a Characterization of Background Music Audibility in Broadcasted TV” in International Journal of Environmental Research and Public Health, Special Issue Speech Communication in Complex Auditory Scenes and Effects on Voice Behaviour and Health, Listening Comfort, Well-Being, and Learning.
Awards
In 2023, we were recognised as one of 135 Leading European Tech Scale-ups (LETS) that are succeeding globally to stand out for our international reach and the sustainability of our business model.
Our Scientific Publicactions and Awards
For PR and press inquiries, drop us a line at press@bmat.com.
Get to know us better
Founded in 2006, BMAT is a music innovation company with a mission to index all music usage and ownership data.
We help all different companies in the music industry better their data operations to make sure artists get paid for their plays.
Every day we deliver 27 billion matches and 80 million identifications to CMOs, publishers, record labels, broadcasters and DSPs globally.