Mugo one pager
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MUGO is an advanced music aggregator and social platform that allows users to simultaneously listen to songs and playlists together, chat about music, and follow other users' playlists. It syncs music from a user's device and various providers to let people enjoy music seamlessly in a single player while connecting with others. MUGO's algorithms learn user preferences to offer personalized recommendations and automatically generate tailored playlists.
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Mugo OnePager
MUGO is an advanced music aggregator and social platform that allows users to listen to music together, chat about songs, follow artists, and get personalized recommendations. It combines a social network with a music player to let users seamlessly listen to music from their own devices or streaming services while interacting with other users. MUGO uses an algorithm to learn users' preferences and automatically creates a personalized playlist for each user based on their music behavior and feedback.
MUGO one pager
MUGO is an advanced music aggregator and social platform that allows users to listen to music together, chat about songs, follow artists, and get personalized recommendations. It combines a social network with a music player to let users seamlessly listen to music from their own devices or streaming services while interacting with other users. MUGO uses an algorithm to learn users' preferences and automatically creates a personalized playlist for each person.
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SenchaCon: DJing with Sencha Touch
Stan Bershadskiy presented on building a DJing app called Touch DJ using Sencha Touch and the Web Audio API. He demonstrated the app, which allows users to browse tracks, mix songs using decks and a mixer, and integrate MIDI control. He discussed developing the UI with components for decks, mixing, and browsing tracks. The app uses the Web Audio API to implement audio processing and a Node.js backend to serve tracks and metadata. Real-time audio analysis, looping, crossfading, and external MIDI control were implemented. Performance on mobile was identified as a challenge.
Mood board twitter fb and you tube
Soundcloud allows musicians to upload their own remixes and mashups of songs to get feedback, helping artists share and improve their work. It started as a sharing platform but became a publishing tool, distributing music tracks. Tunecore is an online service that partners with iTunes to sell musicians' songs, providing unknown artists a starting point to sell their music, gain more sales, and potentially release a full album on other sites and in stores.
hercules catalogue 2019
Hercules: Digital Core. Analog Roots®
For over 30 years, we have focused on innovating and developing digital audio solutions which continue to inspire users with endless new possibilities. We constantly draw on our roots in analog audio, in order to offer cutting-edge devices, celebrated for their precision and sound quality. From our very first sound card to our latest high-tech mixing controllers, Hercules has built up a level of expertise and know-how widely acknowledged within the audio industry.
With the digital audio era still in its early stages (considering analog audio’s more than a century and a half of history), we find ourselves facing a new path whose direction is ours to chart. Acknowledging and respecting where we come from – while at the same time remaining keenly focused on the evolution of audio and DJing – is the philosophy which guides us every day: Digital Core. Analog Roots®.
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Mugo OnePager
MUGO is an advanced music aggregator and social platform that allows users to listen to music together, chat about songs, follow artists, and get personalized recommendations. It combines a social network with a music player to let users seamlessly listen to music from their own devices or streaming services while interacting with other users. MUGO uses an algorithm to learn users' preferences and automatically creates a personalized playlist for each user based on their music behavior and feedback.
MUGO one pager
MUGO is an advanced music aggregator and social platform that allows users to listen to music together, chat about songs, follow artists, and get personalized recommendations. It combines a social network with a music player to let users seamlessly listen to music from their own devices or streaming services while interacting with other users. MUGO uses an algorithm to learn users' preferences and automatically creates a personalized playlist for each person.
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Surela is a revolutionary online bangla song platform introducing for Bangladeshi singer and listener. Piracy is a major problem in audio industry. Bangladesh also face this problem. To overcome this problem we introduce surela.p
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Stan Bershadskiy presented on building a DJing app called Touch DJ using Sencha Touch and the Web Audio API. He demonstrated the app, which allows users to browse tracks, mix songs using decks and a mixer, and integrate MIDI control. He discussed developing the UI with components for decks, mixing, and browsing tracks. The app uses the Web Audio API to implement audio processing and a Node.js backend to serve tracks and metadata. Real-time audio analysis, looping, crossfading, and external MIDI control were implemented. Performance on mobile was identified as a challenge.
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With the digital audio era still in its early stages (considering analog audio’s more than a century and a half of history), we find ourselves facing a new path whose direction is ours to chart. Acknowledging and respecting where we come from – while at the same time remaining keenly focused on the evolution of audio and DJing – is the philosophy which guides us every day: Digital Core. Analog Roots®.
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Jade Ashworth conducted a music survey to inform the development of a new music magazine. Based on the results from 10 respondents:
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- Respondents listen to music extensively, with most listening 5-10 hours per week, using their phones.
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- Techniques for optimizing pipelines including distributed caching, bloom filters, and Parquet for efficient storage and querying of large datasets.
- The speaker's success in migrating over 300 jobs from Python to Scala and growing the team of engineers building Scala pipelines at Spotify.
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The document discusses several music and design-related services:
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2. DesignersMX is a community site for graphic designers to share music playlists and design album cover images. It focuses on sharing creative inspiration.
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Music Streaming app allows most people to get the music right now. People are listening to more artists than ever before due to streaming services and their dominance.
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MixMap is an app that allows users to share, discover, and collaborate on music playlists. The app operates on a map format where users can (1) create and share playlists to their location, (2) view playlists created by friends or at locations, and (3) create group playlists when with others. The app aims to integrate with Spotify to provide the largest music library and allow users to view playlists from locations like events and clubs. Market validation shows a large potential user base of smartphone and Spotify users that are interested in monthly music subscriptions.
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Kiite Cafe: A Web Service for Getting Together Virtually to Listen to Music (...
謝辞：Kiiteおよびニコニコ動画のユーザ、VOCALOID楽曲のクリエータ、VOCALOID楽曲の日毎・週毎の人気度ランキングの作成者、そしてVOCALOID文化とそれに関連した文化を築き、支援し、楽しんでいる全ての人々に感謝します。また、Kiite を共同開発したクリプトン・フューチャー・メディア株式会社、我々の研究活動を初期は暗黙的に（後に明示的に）応援してきたニコニコ動画に感謝します。
本ポスターは2021年11月7日～12日に開催された「22nd International Society for Music Information Retrieval Conference (ISMIR 2021)」の発表資料です。
発表した論文のPDFは以下のURLから閲覧できます。
http://ktsukuda.me/wp-content/uploads/ISMIR2021_KiiteCafe_tsukuda.pdf
Ignite.pdf
This document summarizes a student project to create a decentralized music player using blockchain. The project aims to empower artists by allowing them to upload and sell music directly to fans without intermediaries. It also aims to create a more direct way for fans to support artists and discover new music. By introducing a blockchain-based model, the project hopes to disrupt the centralized music industry and create a more equitable ecosystem for all stakeholders. The document outlines the problem with the current centralized music industry, project objectives, the working of the proposed music player using smart contracts, various diagrams of the system, technologies used, and potential outcomes of the project.
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Sound cloud Detail company
SoundCloud is an online audio distribution platform and music sharing website based in Berlin, Germany. It allows users to upload, promote, and share audio. SoundCloud has over 175 million unique monthly listeners and generates revenue through subscription and advertising services. While it has struggled to develop successful desktop apps, SoundCloud's key features include embedding audio in social media posts, unlimited uploads for free users, and creative tools for artists and fans to interact.
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Meetup details: http://www.meetup.com/SF-Scala/events/224430674/
Music survey results (2)
Jade Ashworth conducted a music survey to inform the development of a new music magazine. Based on the results from 10 respondents:
- The target audience would primarily be females between 16-19 who enjoy hip hop, dance, R&B, house and rap music.
- Respondents listen to music extensively, with most listening 5-10 hours per week, using their phones.
- The magazine should focus on these genres and include info on music apps, contests for devices/music and upcoming concerts.
- The price point should be around £2.50, as most respondents would pay £2-3.99.
Scala Data Pipelines @ Spotify
This document provides an overview of Scala data pipelines at Spotify. It discusses:
- The speaker's background and Spotify's scale with over 75 million active users.
- Spotify's music recommendation systems including Discover Weekly and personalized radio.
- How Scala and frameworks like Scalding, Spark, and Crunch are used to build data pipelines for tasks like joins, aggregations, and machine learning algorithms.
- Techniques for optimizing pipelines including distributed caching, bloom filters, and Parquet for efficient storage and querying of large datasets.
- The speaker's success in migrating over 300 jobs from Python to Scala and growing the team of engineers building Scala pipelines at Spotify.
Jackdaw research music survey report
In October 2015, we conducted two separate surveys about music consumption habits, and specifically Apple Music. This reports shares the findings of those two surveys along with key messages for readers.
How We Listen to Music - SXSW 2015
How does having 30 million songs in our pocket affect how we listen to music? In this data-driven and demo-laden talk we’ll explore the behavior of today’s music listener. We’ll look at how today’s easy and ubiquitous access to nearly all of recorded music is changing how a listener organizes, discovers and experiences music. By exploring big music data being collected by organizations such as Spotify and The Echo Nest we can get a deeper and more nuanced view of how today’s listener really interacts with their music.
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In this talk, we will get into the architectural and functional details as to how we build scalable and robust data pipelines for music recommendations at Spotify. We will also discuss some of the challenges and an overview of work to address these challenges.
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Spotify provides personalized music recommendations to over 100 million active users based on their listening history and the listening history of similar users. It utilizes various recommendation approaches, including collaborative filtering using latent factor models to create lower-dimensional representations of users and songs. Spotify also uses natural language processing models on playlist data and deep learning on audio features to power recommendations. Personalizing music at Spotify's massive scale across 30 million tracks presents challenges around cold starts, repeated consumption, and measuring recommendation quality.
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Similar to Mugo one pager
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The document discusses several music and design-related services:
1. Spotify allows users to stream music and see what their friends are listening to. It uses preference-based radio and personalization features.
2. DesignersMX is a community site for graphic designers to share music playlists and design album cover images. It focuses on sharing creative inspiration.
3. SoundCloud lets users record and share sounds online. It has an interactive interface where users can comment on specific points in a track.
The document also discusses future directions like more personalized music discovery and new ways for average users to create and share music. Overall it analyzes trends in how people discover, consume, and engage with music through different online
Sound cloud
SoundCloud is a social media platform and online audio distribution platform founded in Berlin, Germany. It allows users to share their original sounds and music through profiles, and engage with other users through likes, comments, reposts, and playlists. Key features include the ability to upload, promote, and sell music tracks, record audio directly through the site, and view waveform visualizations of tracks. It also offers both free and premium membership tiers for musicians and creators.
Marketing strategy for yu player app
This presentation was created by Akhil Vempali ,NSIT Delhi, during a marketing internship by Prof. Sameer Mathur , IIM Lucknow.
Innovation - Soundcloud
SoundCloud is an online audio distribution platform that allows users to easily upload, share, and discover music. It has become a popular platform for emerging artists and DJs to publish their work, connect with collaborators, and gain exposure. While originally free for all users, SoundCloud has recently launched paid subscription services to help monetize content and compensate artists as the music industry shifts to streaming models.
Benefits and Reasons to Invest in a Music Streaming App like Spotify.pdf
A mobile music streaming app has been transformed into an entertainment business. According to Mobile app developers in NYC, 75% of recorded music industry revenue in 2018 came from streaming music.
Music Streaming app allows most people to get the music right now. People are listening to more artists than ever before due to streaming services and their dominance.
MixMap Pitch - MD5217
MixMap is an app that allows users to share, discover, and collaborate on music playlists. The app operates on a map format where users can (1) create and share playlists to their location, (2) view playlists created by friends or at locations, and (3) create group playlists when with others. The app aims to integrate with Spotify to provide the largest music library and allow users to view playlists from locations like events and clubs. Market validation shows a large potential user base of smartphone and Spotify users that are interested in monthly music subscriptions.
Echo pitch deck
The document summarizes Echo, a music platform that connects the offline music ecosystem to the online world of devices. It allows users to co-create and share playlists, find parties by what music is playing and who is attending through playlists, and play playlists synced across devices. Features include Echo Playlists, Echo Jukebox for businesses, Echo CrowdSpeaker for festivals, and Echo PartyMap. The startup has launched on iOS, gained 20k downloads, and is looking to raise $500k to expand features and reach more users.
Kiite Cafe: A Web Service for Getting Together Virtually to Listen to Music (...
謝辞：Kiiteおよびニコニコ動画のユーザ、VOCALOID楽曲のクリエータ、VOCALOID楽曲の日毎・週毎の人気度ランキングの作成者、そしてVOCALOID文化とそれに関連した文化を築き、支援し、楽しんでいる全ての人々に感謝します。また、Kiite を共同開発したクリプトン・フューチャー・メディア株式会社、我々の研究活動を初期は暗黙的に（後に明示的に）応援してきたニコニコ動画に感謝します。
本ポスターは2021年11月7日～12日に開催された「22nd International Society for Music Information Retrieval Conference (ISMIR 2021)」の発表資料です。
発表した論文のPDFは以下のURLから閲覧できます。
http://ktsukuda.me/wp-content/uploads/ISMIR2021_KiiteCafe_tsukuda.pdf
Ignite.pdf
This document summarizes a student project to create a decentralized music player using blockchain. The project aims to empower artists by allowing them to upload and sell music directly to fans without intermediaries. It also aims to create a more direct way for fans to support artists and discover new music. By introducing a blockchain-based model, the project hopes to disrupt the centralized music industry and create a more equitable ecosystem for all stakeholders. The document outlines the problem with the current centralized music industry, project objectives, the working of the proposed music player using smart contracts, various diagrams of the system, technologies used, and potential outcomes of the project.
Music First - Strategy presentation for a Music Video App (India)
A preliminary research & strategy presentation for a Music Video viewing mobile app catering to the Indian market.
Design Thinking meets the User Experience with SoundCloud
User Experience (UX) methods were developed largely to evaluate product usability and are primarily applied to web usability contexts. Other methods, such as co-design and human centered design, also provide approaches to facilitate better understanding of the user. This project shows how to conduct user research using Design Thinking methodologies. The final recommendations pinpoint the next steps in the user-centered design approach.
Muze - a Social DJ App
Muze is a Social DJ App developed by Focaloid Technologies. It enables users to vote in their favorite song and enjoy it at their favorite Radio Indigo Venue.
A case-for-variation
This document summarizes a presentation on various topics related to music, media, and technology. It discusses the history of remixing and reusing music, the concept of spreadable media, examples of viral videos like the Harlem Shake, the use of music in games, open source tools for musicians, emerging technologies, and challenges around surveillance, credibility and professionalism versus amateurism. The presentation aims to be interdisciplinary and cover collaboration across fields.
Radio 365: Marketing Plan
The document proposes launching a new internet radio application in India with improved recommendation features. It aims to target music lovers aged 15-35 by launching first in India then expanding internationally. The application would offer online music streaming, social sharing, custom radio stations and a state-of-the-art recommendation engine. It analyzes competition and discusses marketing strategy including pricing, promotions and distribution channels to achieve the goal of 1 million downloads within a year of launching in India.
Sound cloud Detail company
SoundCloud is an online audio distribution platform and music sharing website based in Berlin, Germany. It allows users to upload, promote, and share audio. SoundCloud has over 175 million unique monthly listeners and generates revenue through subscription and advertising services. While it has struggled to develop successful desktop apps, SoundCloud's key features include embedding audio in social media posts, unlimited uploads for free users, and creative tools for artists and fans to interact.
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Soundcloud is a social networking website focused on allowing artists to share, release, and promote their music. It solves the problem of how artists can share music online without risking piracy or loss of revenue. Artists use Soundcloud to generate hype for upcoming releases by sharing works in progress. Labels use it to discover new artists and engage with fans. Soundcloud has been successful, ranking highly on investment lists and gaining popularity through integration with Facebook and apps.
Mugo Presentation
MUGO is an innovative social music platform that allows users to listen to music from different providers simultaneously in one player. It features Quick Sync which allows users to listen together to songs at the same time and share playlists. MUGO Social functions like Instagram for music, allowing users to follow artists' playlists, see comments on songs, and get recommendations tailored to their listening behavior. The product is currently in beta for iOS and will expand to web, Android, and watch platforms in the next quarter.
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We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
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“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Infrastructure Challenges in Scaling RAG with Custom AI models
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GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Mugo one pager
- 1. MUGO - Reinvent the way we share & listen to music
- 2. What is MUGO ? • MUGO is an advanced music aggregator that redefines how people listen and share music. • Think of it as the first ever combination between a social/chat network and a state-of-the-art music player, on your device. What are MUGO's key features ? • QS (Quick Sync) let's you simultaneously listen to songs and playlists together with other users - instantly and globally. • MUGO Social - users can listen and chat about songs, creating a new social music experience. • MUGO allows users to follow, rank and send emotional feedback about other users’ music and follow personal playlists of their favorite artists. • Users can post & view comments about the songs they listen to. How is MUGO different from other music apps ? • MUGO isn't a streaming service. It's an innovative social music platform that lets you enjoy music from your device and from leading providers - seamlessly in a single smart player. How does MUGO work ? • MUGO's sync algorithm matches same songs from different providers - smoothly connecting users to listen together. • MUGO's advanced algorithm is set to learn and adjust to users’ music preferences. • Using filters and ranking, the system correlates songs from the device and providers - offering smart recommendations combined with user behavior. • MUGO autonomously creates the JUST 4U playlist - a tailor-made personal playlist for every user. Music Aggregator QS (Quick Sync) MUGO Social