His primary scientific interests are in Multimedia, Electronic media, Audio signal, Audio signal processing and Device status. His work deals with themes such as Event, Audio feedback and Human–computer interaction, which intersect with Multimedia. His work on Audio signal flow as part of general Audio signal research is frequently linked to Media management and Set, thereby connecting diverse disciplines of science.
His research brings together the fields of Speech recognition and Audio signal processing. His Device status study which covers Display device that intersects with Electronic engineering. His Matrix mixer study integrates concerns from other disciplines, such as Computer hardware, Host processor, Isolation, Power usage and Embedded system.
His primary areas of investigation include Audio signal, Speech recognition, Computer hardware, Microphone and Audio signal flow. His study in Audio signal is interdisciplinary in nature, drawing from both Electronic engineering, Artificial intelligence, Computer vision and Noise. His studies deal with areas such as Ambient noise level, Process, Loudspeaker and Noise measurement as well as Speech recognition.
His work carried out in the field of Computer hardware brings together such families of science as Presentation, Data file, Power consumption, Real-time computing and Electronics. The study incorporates disciplines such as Headset, Mobile device and Accelerometer in addition to Microphone. His study focuses on the intersection of Computer network and fields such as Asset with connections in the field of Multimedia.
Aram Lindahl spends much of his time researching Microphone, Signal, Speech recognition, Audio signal and Process. The Microphone study combines topics in areas such as Audio signal processing, Beamforming, Headset and Accelerometer. His Signal research is multidisciplinary, relying on both Field of view, Artificial intelligence, Computer vision, Noise and Mobile device.
His Speech recognition study incorporates themes from Noise, Ambient noise level, Colors of noise, Noise measurement and Rendering. Aram Lindahl does research in Audio signal, focusing on Audio signal flow specifically. His biological study spans a wide range of topics, including Object, Echo and Code.
Microphone, Speech recognition, Audio signal, Audio signal flow and Vibration are his primary areas of study. His research combines Headset and Microphone. Aram Lindahl interconnects Microphone array, Beamforming and Recognition system in the investigation of issues within Speech recognition.
His work investigates the relationship between Audio signal and topics such as Noise floor that intersect with problems in Audio signal processing, Phantom power, Noise-canceling microphone, Noise and Audio crossover. His research integrates issues of Matrix mixer, Audio over Ethernet, Telecommunications network and Speech coding in his study of Audio signal flow. His work in Vibration covers topics such as Voice activity which are related to areas like Detector.
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Tactile feedback in an electronic device
Fadell Anthony;Hodge Andrew Bart;Zadesky Stephen P;Lindahl Aram.
Electronic Devices with Voice Command and Contextual Data Processing Capabilities
Aram M. Lindahl.
Techniques for improved playlist processing on media devices
Muthya K. Girish;Aram Lindahl;Morgan Woodson.
Efficient techniques for modifying audio playback rates
Aram Lindahl;Joseph Mark Williams.
Video conferencing system having focus control
Muthya K. Girish;Aram Lindahl;Andrew Grignon.
Data-Driven Media Management Within An Electronic Device
James D. Batson;Meriko L. Borogove;Gregory R. Chapman;Patrick L. Coffman.
Techniques for presenting sound effects on a portable media player
Aram Lindahl;Joseph Mark Williams;Muthya K. Girish.
Method and system for approximating graphic equalizers using dynamic filter order reduction
Aram Lindahl;Joseph Mark Williams.
Partial Encryption Techniques For Media Data
Aram Lindahl;Muthya Girish;Christian Duvivier.
Media processing method and device
David Gerard Conroy;Barry Corlett;Aram Lindahl;Steve Schell.
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