Audio search engine

Types of audio search - Audio search from text: User enters text into search bar, compared to database, matching results with descriptions and options to download. - Audio search from image: Query by Example (QBE) system uses content-based image retrieval (CBIR), generates keywords from image, searches for audio files based on keywords and user preferences. - Audio search from audio: User plays audio of a song, sound pattern derived from waveform and frequency representation, matched with patterns of sound files in database, displayed as search results. Design and algorithms - Audio search uses keywords found in media titles, attached text, and linked web pages. - Some search engines can search recorded speech using phonetic search algorithms or text transcriptions. - Applications like Munax and Shazam use ranking algorithms, acoustic fingerprinting, and databases to identify and match audio. Notable audio search engines - Deep audio search: Picsearch Audio Search powers image, video, and audio search for over 100 search engines. - For smartphones: SoundHound (formerly Midomi) offers audio-based AI services and song identification capabilities. Shazam identifies songs by creating an acoustic fingerprint and comparing it to a central database. - Doreso identifies songs by humming, singing, or direct input, providing information and options to purchase. - Munax, a defunct company, released a multimedia search engine in 2005, allowing search for images, video, and audio in one place. - Z39.50 is a protocol used for searching and retrieving information from databases. Additional information on audio search - Audio search has evolved slowly and uses various search formats, all relying on keywords. - Some search engines can search recorded speech, while others use phonetic algorithms or full audio transcription. - Shazam uses an audio fingerprinting technique called spectrogram to identify songs from various sources. - Munax shut down after releasing their multimedia search engine. - Citation needed for some information. Notable features and capabilities of audio search engines - Picsearch Audio Search powers image, video, and audio search for over 100 search engines. - SoundHound (formerly Midomi) offers audio-based AI services and song identification capabilities. - Shazam identifies songs by creating an acoustic fingerprint and comparing it to a central database. - Doreso identifies songs by humming, singing, or direct input, providing information and options to purchase. - Z39.50 is a protocol used for searching and retrieving information from databases.