Abstract: Multi-laser spectroscopy systems and related methods are disclosed. The multi-laser spectroscopy systems as described herein can include a laser device with multiple laser sources and an optical combiner to combine laser light from the multiple laser sources to generate incident light. The incident light can be directed to a sample disposed in a chamber to interact with the sample, thereby generating responsive light directed to a spectrometer configured to generate measurement signals corresponding to the responsive light. A computing device can cause laser sources to excite laser light in different combinations to alter the incident light and obtain the measurement signals generated by the spectrometer to determine one or more characteristics of the sample.

Abstract: Generative media content (e.g., generative audio) can be played back across multiple playback devices concurrently. A coordinator device can receive a multi-channel stream of media content, with at least some channels comprising generative media content. The coordinator device transmits each of the channels to a plurality of playback devices. A first playback device plays back a first subset of the channels according to first playback responsibilities and a second playback device plays back a second subset of the channels according to second playback responsibilities. The first and/or second playback responsibilities can be dynamically modified over time, for example in response to one or more input parameters.

Abstract: Generative media content (e.g., generative audio) can be played back across multiple playback devices concurrently. A coordinator device can receive a multi-channel stream of media content, with at least some channels comprising generative media content. The coordinator device transmits each of the channels to a plurality of playback devices. A first playback device plays back a first subset of the channels according to first playback responsibilities and a second playback device plays back a second subset of the channels according to second playback responsibilities. The first and/or second playback responsibilities can be dynamically modified over time, for example in response to one or more input parameters.

Abstract: Generative media content (e.g., generative audio) can be played back across multiple playback devices concurrently. A coordinator device can receive a multi-channel stream of media content, with at least some channels comprising generative media content. The coordinator device transmits each of the channels to a plurality of playback devices. A first playback device plays back a first subset of the channels according to first playback responsibilities and a second playback device plays back a second subset of the channels according to second playback responsibilities. The first and/or second playback responsibilities can be dynamically modified over time, for example in response to one or more input parameters.

Abstract: Generative media content (e.g., generative audio) can be played back across multiple playback devices concurrently. A generative content group coordinator device can receive input parameters, which can include sensor data, media content, or other such input. The coordinator device can generate first and second generative media content streams, each of which can be transmitted to first and second playback devices, respectively. The first and second playback devices can play back the first and second streams of generative media content concurrently.

Abstract: Network devices, systems, and methods for localizing portable playback devices. In one example, a method of determining a location of a docking station includes over a time period, receiving multiple instances of movement information from a portable playback device, over the time period, receiving multiple instances of detection information from at least one stationary playback device, the detection information indicating that the at least one stationary playback device has detected a presence of the portable playback device, estimating, based on at least a combination of the movement information and the detection information, the location of the docking station relative to the at least one stationary playback device, and storing the location of the docking station.

Abstract: The disclosed playback devices, media playback systems, and/or methods improve upon the media playback experience by selectively reducing audio quality under certain conditions. The reduction of audio quality may be based on one or more aspects of the acoustic environment, such as the number and locations of one or more users, noise levels, playback device locations relative to the acoustic environment, etc. The media playback system may monitor or periodically poll each of one or more playback devices and other devices or sensors in and around an acoustic environment to determine whether there are opportunities to reduce audio quality for one or more playback devices. This reduction in quality allows the media playback system to conserve resources in one or more aspects and, potentially, divert those resources to other aspects for purposes.

Abstract: Example technologies described herein relate to spatial audio on wearable playback devices, such as headphone and earbuds. Such technologies may include forms of binaural rendering of audio, which is played back on the wearable playback devices. These technologies may create or enhance an immersive listening experience which, to the listener, does not sound like you are listening on a wearable device, but are instead listening to a well-tuned, well-place, three-dimensional audio system of loudspeakers in a particular listening environment, such as the listener's actual living room.

Abstract: An example involves detecting, during a time period by a receiving device, an audio signal comprising a superposition of a plurality of audio signals transmitted by a plurality of respective playback devices. The example further comprises determining a time-frequency representation of the audio signal and obtaining data associating playback devices with respective reference audio signals, each reference audio signal having a predefined time-frequency representation. The example further comprises, based on the time-frequency representation of the audio signal and the data, determining that the audio signal comprises a superposition of a first audio signal transmitted by a first playback device and a second audio signal transmitted by a second playback device.

Abstract: Distributed media content history and preferences can be stored and maintained by media playback systems including one or more blockchain-capable playback devices. Content record sets, such as content experience record sets and content network record sets, can be stored via distributed ledgers and updated at least in part based on media consumption events performed or detected by playback devices, service providers, or other participants. Such distributed data can also be accessed to facilitate playback of media content for particular users, devices, households, or environments.

Abstract: Generative media content (e.g., generative audio) can be played back across multiple playback devices concurrently. A coordinator device can receive a multi-channel stream of media content, with at least some channels comprising generative media content. The coordinator device transmits each of the channels to a plurality of playback devices. A first playback device plays back a first subset of the channels according to first playback responsibilities and a second playback device plays back a second subset of the channels according to second playback responsibilities. The first and/or second playback responsibilities can be dynamically modified over time, for example in response to one or more input parameters.

Abstract: An example media playback system includes an upward-firing transducer and a horizontal-firing transducer in a playback device and a microphone that is horizontally spaced apart from the upward-firing transducer. The media playback system is configured to output a first audio signal from the upward-firing transducer and a second audio signal from the horizontal-firing transducer, receive a reflection of the first audio signal from a ceiling of a listening environment at the microphone, receive the second audio signal at the microphone, determine a distance between the playback device and the microphone based on the second audio signal, and determine a ceiling characteristic based on the reflection of the first audio signal and the distance between the playback device and the microphone.

Abstract: An example media playback system includes an upward-firing transducer and a horizontal-firing transducer in a playback device and a microphone that is horizontally spaced apart from the upward-firing transducer. The media playback system is configured to output a first audio signal from the upward-firing transducer and a second audio signal from the horizontal-firing transducer, receive a reflection of the first audio signal from a ceiling of a listening environment at the microphone, receive the second audio signal at the microphone, determine a distance between the playback device and the microphone based on the second audio signal, and determine a ceiling characteristic based on the reflection of the first audio signal and the distance between the playback device and the microphone.

Abstract: Distributed media content history and preferences can be stored and maintained by media playback systems including one or more blockchain-capable playback devices. Content record sets, such as content experience record sets and content network record sets, can be stored via distributed ledgers and updated at least in part based on media consumption events performed or detected by playback devices, service providers, or other participants. Such distributed data can also be accessed to facilitate playback of media content for particular users, devices, households, or environments.

Abstract: Generative media content (e.g., generative audio) can be played back across multiple playback devices concurrently. A generative content group coordinator device can receive input parameters, which can include sensor data, media content, or other such input. The coordinator device can generate first and second generative media content streams, each of which can be transmitted to first and second playback devices, respectively. The first and second playback devices can play back the first and second streams of generative media content concurrently.

Abstract: Example technologies described herein relate to spatial audio on wearable playback devices, such as headphone and earbuds. Such technologies may include forms of binaural rendering of audio, which is played back on the wearable playback devices. These technologies may create or enhance an immersive listening experience which, to the listener, does not sound like you are listening on a wearable device, but are instead listening to a well-tuned, well-place, three-dimensional audio system of loudspeakers in a particular listening environment, such as the listener's actual living room.

Abstract: Example technologies described herein relate to spatial audio on wearable playback devices, such as headphone and earbuds. Such technologies may include forms of binaural rendering of audio, which is played back on the wearable playback devices. These technologies may create or enhance an immersive listening experience which, to the listener, does not sound like you are listening on a wearable device, but are instead listening to a well-tuned, well-place, three-dimensional audio system of loudspeakers in a particular listening environment, such as the listener's actual living room.

Abstract: In various examples there is a method of empirically measuring a level of security’ of a training pipeline. The training pipeline is configured to train machine learning models using confidential training data. The method comprises storing a representation of a joint distribution of false positive rate and false negative rate of membership inference attacks on a plurality of machine learning models trained using the training pipeline. The method uses the representation to compute a posterior distribution of the level of security’ from observations of the membership inference attack on the plurality’ of machine learning models trained using the training pipelines. A confidence interval of the level of security is computed from the posterior distribution and the confidence interval is stored.

Abstract: Generative media content (e.g., generative audio) can be played back across multiple playback devices concurrently. A generative content group coordinator device can receive input parameters, which can include sensor data, media content, or other such input. The coordinator device can generate first and second generative media content streams, each of which can be transmitted to first and second playback devices, respectively. The first and second playback devices can play back the first and second streams of generative media content concurrently.

Abstract: Distributed media content history and preferences can be stored and maintained by media playback systems including one or more blockchain-capable playback devices. Content record sets, such as content experience record sets and content network record sets, can be stored via distributed ledgers and updated at least in part based on media consumption events performed or detected by playback devices, service providers, or other participants. Such distributed data can also be accessed to facilitate playback of media content for particular users, devices, households, or environments.