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Spotify AB patent applications on 2025-07-03

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Patent Applications by Spotify AB on July 3rd, 2025

Spotify AB: 3 patent applications

Spotify AB has applied for patents in the areas of G10L25/51 (SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING, 1), H04L65/60 (Network streaming of media packets, 1), H04R5/02 (Spatial or constructional arrangements of loudspeakers, 1)

With keywords such as: feature, acoustic, vectors, provided, methods, systems, computer, program, products, determining in patent application abstracts.

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Patent Applications by Spotify AB

20250218453. AUDIO STEM IDENTIFICATION SYSTEMS METHODS (Spotify AB)

Abstract: methods, systems and computer program products are provided for determining acoustic feature vectors of query and target items in a first vector space, and mapping the acoustic feature vectors to a second vector space having a lower dimension. the distribution of vectors in the second vector space can then be used to identify items from the same songs, and/or items that are complementary. a mapping function is trained using a machine learning algorithm, such that complementary audio items are closer in the second vector space than the first, according to a given distance metric.

20250220061. Device Discovery Social Playback (Spotify AB)

Abstract: a system for device discovery for social playback is disclosed. the system operates to connect a host media playback device to a media output device and broadcast a social playback session to guest media playback devices. upon joining a social playback session, a guest media playback device may control the media playback at the host media playback device. where the media output for the social playback session is provided by the media output device.

20250220350. Systems, Methods Computer Program Products Selecting Audio Filters (Spotify AB)

Abstract: a training audio track feature vector is generated for training audio tracks. the training audio track feature vector includes training track vector components based on one or more feature sets. each of the training track vector components is grouped into at least one cluster. audio filters are mapped to one or more of the clusters, thereby building a feature-filter mapping function. mapping functions from filters to audio output devices and/or physical space acoustic features can also be built. a media playback device receives the mapping function(s) and is enabled to apply the mapping function(s) to a query audio track feature vector to identify at least one audio filter corresponding to the query audio track. the media playback device can then apply the at least one audio filter to the query audio track.

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