An electronic device with a touch-sensitive surface, a display, and one or more sensors to detect intensity of contacts: displays a plurality of user interface objects in a first user interface; detects a contact while a focus selector is at a location of a first user interface object; and, while the focus selector is at the location of the first user interface object: detects an increase in a characteristic intensity of the contact to a first intensity threshold; in response, visually obscures the plurality of user interface objects, other than the first user interface object, while maintaining display of the first user interface object; detects that the characteristic intensity of the contact continues to increase above the first intensity threshold; and, in response, dynamically increases the amount of visual obscuring of the plurality of user interface objects, other than the first user interface object.

Devices, Methods, and Graphical User Interfaces for Manipulating User Interface Objects with Visual and/or Haptic Feedback

A display apparatus includes an image processor which processes an image to display an image content; a display unit which displays thereon an image content that is processed by the image processor; and a controller which displays a user interface (UI) menu including a plurality of UI items to search the image content, as one of a two-dimensional (2D) layout by which the plurality of UI items are arranged in a 2D manner, and a three-dimensional (3D) layout by which the plurality of UI items are arranged in a 3D manner , and changes displaying the one of the layouts to display the other of the layouts according to a user's command while maintaining a continuity of the arrangement of the plurality of UI items. Accordingly, search for an image content can be efficiently performed by using a UI menu.

Display apparatus and control method thereof

A method and system use an alternative sensor signal received from a sensor other than an air conduction microphone to estimate a clean speech value. The estimation uses either the alternative sensor signal alone, or in conjunction with the air conduction microphone signal. The clean speech value is estimated without using a model trained from noisy training data collected from an air conduction microphone. Under one embodiment, correction vectors are added to a vector formed from the alternative sensor signal in order to form a filter, which is applied to the air conductive microphone signal to produce the clean speech estimate. In other embodiments, the pitch of a speech signal is determined from the alternative sensor signal and is used to decompose an air conduction microphone signal. The decomposed signal is then used to determine a clean signal estimate.

Method and apparatus for multi-sensory speech enhancement

A mobile device includes an air conduction microphone and an alternative sensor that provides an alternative sensor signal indicative of speech. A communication interface permits the mobile device to communicate directly with other mobile devices.

Method and apparatus for multi-sensory speech enhancement on a mobile device

A digital multi-media device provides features for a user unskilled in musical arts or sound handling techniques that provides automatic musical score composition in accordance with contained composition instructions. Stored sound samples and interfaces for obtaining external signals provide signals for merger with visual and sound presentations to obtain altered presentations either time shifted or in real time. In this fashion the user can create simulated radio stations for playback of prearranged and composed audio material. Further, the automatically composed musical score may be mixed with synthesized, digitized signals from the stored sound samples and external signals obtained through the device interfaces.

Interactive digital music recorder and player

Speech enhancement is provided in dual microphone noise reduction systems by including spectral subtraction algorithms using linear convolution, causal filtering and/or spectrum dependent exponential averaging of the spectral subtraction gain function. According to exemplary embodiments, when a far-mouth microphone is used in conjunction with a near-mouth microphone, it is possible to handle non-stationary background noise as long as the noise spectrum can continuously be estimated from a single block of input samples. The far-mouth microphone, in addition to picking up the background noise, also picks up the speaker's voice, albeit at a lower level than the near-mouth microphone. To enhance the noise estimate, a spectral subtraction stage is used to suppress the speech in the far-mouth microphone signal. To be able to enhance the noise estimate, a rough speech estimate is formed with another spectral subtraction stage from the near-mouth signal. Finally, a third spectral subtraction function is used to enhance the near-mouth signal by suppressing the background noise using the enhanced background noise estimate.

System and method for dual microphone signal noise reduction using spectral subtraction

A system and method for speech signal enhancement upsamples a narrowband speech signal at a receiver to generate a wideband speech signal. The lower frequency range of the wideband speech signal is reproduced using the received narrowband speech signal. The received narrowband speech signal is analyzed to determine its formants and pitch information. The upper frequency range of the wideband speech signal is synthesized using information derived from the received narrowband speech signal.

System and method for modifying speech signals

Methods and apparatus for providing speech enhancement in noise reduction systems include spectral subtraction algorithms using linear convolution, causal filtering and/or spectrum dependent exponential averaging of the spectral subtraction gain function. According to exemplary embodiments, low order spectrum estimates are developed which have less frequency resolution and reduced variance as compared to spectrum estimates in conventional spectral substraction systems. The low order spectra are used to form a gain function having a desired low variance which in turn reduces musical tones in the spectral subtraction output signal. Advantageously, the gain function can be further smoothed across blocks using input spectrum dependent exponential averaging. Additionally, the low order of the gain function permits a phase to be added during interpolation so that the spectral subtraction gain filter is causal and prevents discontinuities between blocks.

Signal noise reduction by spectral substraction using linear convolution and causal filtering

For purposes of noise suppression, spectral subtraction filtering is performed in sample-wise fashion in the time domain using a time-domain representation of a spectral subtraction gain function computed in block-wise fashion in the frequency domain By continuously performing time-domain filtering on a sample by sample basis, the disclosed methods and apparatus avoid block-processing delays associated with frequency-domain based spectral subtraction systems Consequently, the disclosed methods and apparatus are particularly well suited for applications requiring very short processing delays In applications where only stationary, low-energy background noise is present, computational complexity is reduced by generating a number of separate spectral subtraction gain functions during an initialization period, each gain function being suitable for one of several predefined classes of input signal (eg, for one of several predetermined signal energy ranges), and thereafter fixing the several gain functions until the input signal characteristics change

Signal noise reduction by time-domain spectral subtraction using fixed filters

The present disclosure relates to a technique for varying the frequency of operation of one or more cores in a processor device capable of operating at different frequencies and voltages. A method aspect of this technique includes executing one or more tasks on the at least one processor core, wherein the tasks are grouped into groups, monitoring usage of the at least one processor core by tasks in the groups on a per group basis, aggregating the monitored usage of the at least one processor core by individual groups across the groups to derive a load parameter indicative of the combined usage of the at least one processor core by the tasks in the groups, selecting a frequency of operation based upon the load parameter, and changing the frequency of operation of the at least one processor core to the selected frequency of operation.

Harald Gustafsson

Papers

System and method for dual microphone signal noise reduction using spectral subtraction

System and method for modifying speech signals

Signal noise reduction by spectral substraction using linear convolution and causal filtering

Signal noise reduction by time-domain spectral subtraction using fixed filters

Technique for selecting a frequency of operation in a processor system