|
Doreso
Doreso, is an automatic content recognition (ACR) company specialized in music discovery and social TV recognition service for the second screen. Their sound-to-sound music search engine allows users to obtain more detailed information about music and songs by singing, humming or by recording original music. Features The music search currently has three ways of searching music: by identifying a recorded original music fragment; by humming or singing the melody using a microphone; and by direct input of the name of a song or singer. Users can share their search results on Facebook, Twitter or other SNS website and get similar music recommendations. The app also gives information about the song title, its singer and allows you to purchase the song. History The Music Radar team got 1st place in the Query by Singing/Humming (QBSH) task at the Music Information Retrieval Evaluation eXchange (MIREX) in 2012 and 2013. The app was launched at the end of January 2013, supporting quer ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Music Search Engines
An audio search engine is a web-based search engine which crawls the web for audio content. The information can consist of web pages, images, audio files, or another type of document. Various techniques exist for research on these engines. Types of search Audio search from text Text entered into a search bar by the user is compared to the search engine's database. Matching results are accompanied by a brief description of the audio file and its characteristics such as sample frequency, bit rate, type of file, length, duration, or coding type. The user is given the option of downloading the resulting files. Audio search from image The Query by Example (QBE) system is a searching algorithm that uses content-based image retrieval (CBIR). Keywords are generated from the analysed image. These keywords are used to search for audio files in the database. The results of the search are displayed according to the user preferences regarding to the type of file (wav, mp3, aiff…) or ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Audio Search Engine
An audio search engine is a web-based search engine which crawls the web for audio content. The information can consist of web pages, images, audio files, or another type of document. Various techniques exist for research on these engines. Types of search Audio search from text Text entered into a search bar by the user is compared to the search engine's database. Matching results are accompanied by a brief description of the audio file and its characteristics such as sample frequency, bit rate, type of file, length, duration, or coding type. The user is given the option of downloading the resulting files. Audio search from image The Query by Example (QBE) system is a searching algorithm that uses content-based image retrieval (CBIR). Keywords are generated from the analysed image. These keywords are used to search for audio files in the database. The results of the search are displayed according to the user preferences regarding to the type of file (wav, mp3, aiff…) or ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Automatic Content Recognition
Automatic content recognition (ACR) is a technology to identify content played on a media device or present within a media file. Devices implementing ACR can allow the device or the manufacturer to collect content consumption information automatically at the screen level itself, without any user-based input or search efforts. This information may be collected for purposes such as personalized advertising, content recommendations, sale to customer data aggregators and other applications. How it works To start the recognition, a short media clip (audio, video, or both) is selected from within a media file or captured as displayed on a device such as a smart TV. Using techniques such as fingerprinting and watermarking, the selected content is compared by the ACR software with a database of known recorded works. If the fingerprint of the media clip finds a match, the ACR software returns the corresponding metadata regarding the media as well as other associated or recommended content b ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Social Networking Service
A social networking service or SNS (sometimes called a social networking site) is an online platform which people use to build social networks or social relationships with other people who share similar personal or career content, interests, activities, backgrounds or real-life connections. Social networking services vary in format and the number of features. They can incorporate a range of new information and communication tools, operating on desktops and on laptops, on mobile devices such as tablet computers and smartphones. This may feature digital photo/video/sharing and diary entries online (blogging). Online community services are sometimes considered social-network services by developers and users, though in a broader sense, a social-network service usually provides an individual-centered service whereas online community services are groups centered. Generally defined as "websites that facilitate the building of a network of contacts in order to exchange various types of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Acoustic Fingerprinting
An acoustic fingerprint is a condensed digital summary, a fingerprint, deterministically generated from an audio signal, that can be used to identify an audio sample or quickly locate similar items in an audio database. Practical uses of acoustic fingerprinting include identifying songs, melodies, tunes, or advertisements; sound effect library management; and video file identification. Media identification using acoustic fingerprints can be used to monitor the use of specific musical works and performances on radio broadcast, records, CDs, streaming media and peer-to-peer networks. This identification has been used in copyright compliance, licensing, and other monetization schemes. Attributes A robust acoustic fingerprint algorithm must take into account the perceptual characteristics of the audio. If two files sound alike to the human ear, their acoustic fingerprints should match, even if their binary representations are quite different. Acoustic fingerprints are not h ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Query By Humming
Query by humming (QbH) is a music retrieval system that branches off the original classification systems of title, artist, composer, and genre. It normally applies to songs or other music with a distinct single theme or melody. The system involves taking a user-hummed melody (input query) and comparing it to an existing database. The system then returns a ranked list of music closest to the input query. One example of this would be a system involving a portable media player with a built-in microphone that allows for faster searching through media files. The MPEG-7 standard includes provisions for QbH music searches. Examples of QbH systems include ACRCloud, SoundHound, Musipedia, and Tunebot. External links Online demos ACRCloud SDKsSoundHound (mobile app) from Musipedia QbH research project at NYUQuery by Humming at Sloud Inc [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Search By Sound
Search by sound is the retrieval of information based on audio input. There are a handful of applications, specifically for mobile devices that utilize search by sound. Shazam (service), Soundhound (previously Midomi), Axwave, ACRCloud and others have seen considerable success by using a simple algorithm to match an acoustic fingerprint to a song in a library. These applications take a sample clip of a song, or a user-generated melody and check a music library/music database to see where the clip matches with the song. From there, song information will queried and displayed to the user. These kind of applications are mainly used for finding a song that the user does not already know. Searching by sound is not limited to just identifying songs, but also for identifying melodies, tunes or advertisements, sound library management and video files. Acoustic fingerprinting The way these apps search by sound is through generating an acoustic fingerprint; a digital summary of the sound ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Open API
An open API (often referred to as a public API) is a publicly available application programming interface that provides developers with programmatic access to a proprietary software application or web service. APIs are sets of requirements that govern how one application can communicate and interact with another. APIs can also allow developers to access certain internal functions of a program, although this is not typically the case for web APIs. In the simplest terms, an API allows one piece of software to interact with another piece of software, whether within a single computer via a mechanism provided by the operating system or over an internal or external TCP/IP-based or non-TCP/IP-based network. Currently, many APIs are provided by organizations for access with HTTP. APIs may be used by both developers inside the organisation that published the API or by any developers outside that organisation who wish to register for access to the interface. Characteristics Open APIs have ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cloud Computing
Cloud computing is the on-demand availability of computer system resources, especially data storage ( cloud storage) and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each of which is a data center. Cloud computing relies on sharing of resources to achieve coherence and typically uses a "pay as you go" model, which can help in reducing capital expenses but may also lead to unexpected operating expenses for users. Value proposition Advocates of public and hybrid clouds claim that cloud computing allows companies to avoid or minimize up-front IT infrastructure costs. Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and that it enables IT teams to more rapidly adjust resources to meet fluctuating and unpredictable demand, providing burst computing capability: high computing p ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deep Learning
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks, convolutional neural networks and Transformers have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, Climatology, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance. Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains. Specifically, artificial ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Acoustic Fingerprint
An acoustic fingerprint is a condensed digital summary, a fingerprint, deterministically generated from an audio signal, that can be used to identify an audio sample or quickly locate similar items in an audio database. Practical uses of acoustic fingerprinting include identifying songs, melodies, tunes, or advertisements; sound effect library management; and video file identification. Media identification using acoustic fingerprints can be used to monitor the use of specific musical works and performances on radio broadcast, records, CDs, streaming media and peer-to-peer networks. This identification has been used in copyright compliance, licensing, and other monetization schemes. Attributes A robust acoustic fingerprint algorithm must take into account the perceptual characteristics of the audio. If two files sound alike to the human ear, their acoustic fingerprints should match, even if their binary representations are quite different. Acoustic fingerprints are not h ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Recommender System
A recommender system, or a recommendation system (sometimes replacing 'system' with a synonym such as platform or engine), is a subclass of information filtering system that provide suggestions for items that are most pertinent to a particular user. Typically, the suggestions refer to various decision-making processes, such as what product to purchase, what music to listen to, or what online news to read. Recommender systems are particularly useful when an individual needs to choose an item from a potentially overwhelming number of items that a service may offer. Recommender systems are used in a variety of areas, with commonly recognised examples taking the form of playlist generators for video and music services, product recommenders for online stores, or content recommenders for social media platforms and open web content recommenders.Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, and Reza Bosagh ZadeWTF:The who-to-follow system at Twitter Proceedings of the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
