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At the bottom of this page, there are two options: Ringtone and Notification sound. You can all sorts of custom action here. Setting custom ringtones in Android is a pretty straightforward and simple process. The Best Tech Newsletter Anywhere. Join , subscribers and get a daily digest of news, comics, trivia, reviews, and more.

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Skip to content. How-To Geek is where you turn when you want experts to explain technology. Since we launched in , our articles have been read more than 1 billion times. Want to know more? Such attachment mechanisms, if included, can permit attachment of device with, for example, hats, eyewear, earrings, necklaces, shirts, jackets, bracelets, watch straps, chains, trousers, belts, shoes, purses, backpacks, and so forth. These attachment mechanisms may permit device to be worn by a user. In some embodiments, device can include some or all of the components described with respect to FIGS.

Input mechanism may be a rotatable input device or a depressible and rotatable input device, for example. Input mechanism may be a button, in some examples. Input mechanism may be a microphone, in some examples. Personal electronic device can include various sensors, such as GPS sensor , accelerometer , directional sensor e. Memory of personal electronic device can be a non-transitory computer-readable storage medium, for storing computer-executable instructions, which, when executed by one or more computer processors , for example, can cause the computer processors to perform the techniques described below, including process FIGS.

Examples of such storage include magnetic disks, optical discs based on CD, DVD, or Blu-ray technologies, as well as persistent solid-state memory such as flash, solid-state drives, and the like. Personal electronic device is not limited to the components and configuration of FIG. For example, an image e. In some implementations that include a touch screen display e. In some implementations, focus is moved from one region of a user interface to another region of the user interface without corresponding movement of a cursor or movement of a contact on a touch screen display e.

Without regard to the specific form taken by the focus selector, the focus selector is generally the user interface element or contact on a touch screen display that is controlled by the user so as to communicate the user's intended interaction with the user interface e. For example, the location of a focus selector e.

In some embodiments, the characteristic intensity is based on multiple intensity samples. The characteristic intensity is, optionally, based on a predefined number of intensity samples, or a set of intensity samples collected during a predetermined time period e. A characteristic intensity of a contact is, optionally based on one or more of: a maximum value of the intensities of the contact, a mean value of the intensities of the contact, an average value of the intensities of the contact, a top 10 percentile value of the intensities of the contact, a value at the half maximum of the intensities of the contact, a value at the 90 percent maximum of the intensities of the contact, or the like.

In some embodiments, the duration of the contact is used in determining the characteristic intensity e. In some embodiments, the characteristic intensity is compared to a set of one or more intensity thresholds to determine whether an operation has been performed by a user. For example, the set of one or more intensity thresholds may include a first intensity threshold and a second intensity threshold.


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In this example, a contact with a characteristic intensity that does not exceed the first threshold results in a first operation, a contact with a characteristic intensity that exceeds the first intensity threshold and does not exceed the second intensity threshold results in a second operation, and a contact with a characteristic intensity that exceeds the second threshold results in a third operation. In some embodiments, a comparison between the characteristic intensity and one or more thresholds is used to determine whether or not to perform one or more operations e.

In some embodiments, a portion of a gesture is identified for purposes of determining a characteristic intensity. For example, a touch-sensitive surface may receive a continuous swipe contact transitioning from a start location and reaching an end location, at which point the intensity of the contact increases. In this example, the characteristic intensity of the contact at the end location may be based on only a portion of the continuous swipe contact, and not the entire swipe contact e. In some embodiments, a smoothing algorithm may be applied to the intensities of the swipe contact prior to determining the characteristic intensity of the contact.

In some circumstances, these smoothing algorithms eliminate narrow spikes or dips in the intensities of the swipe contact for purposes of determining a characteristic intensity. In some embodiments, the light press intensity threshold corresponds to an intensity at which the device will perform operations typically associated with clicking a button of a physical mouse or a trackpad.

In some embodiments, the deep press intensity threshold corresponds to an intensity at which the device will perform operations that are different from operations typically associated with clicking a button of a physical mouse or a trackpad. In some embodiments, when a contact is detected with a characteristic intensity below the light press intensity threshold e. Generally, unless otherwise stated, these intensity thresholds are consistent between different sets of user interface figures.

An increase of characteristic intensity of the contact from an intensity below the contact-detection intensity threshold to an intensity between the contact-detection intensity threshold and the light press intensity threshold is sometimes referred to as detecting the contact on the touch-surface. A decrease of characteristic intensity of the contact from an intensity above the contact-detection intensity threshold to an intensity below the contact-detection intensity threshold is sometimes referred to as detecting liftoff of the contact from the touch-surface.

In some embodiments, the contact-detection intensity threshold is zero. In some embodiments, the contact-detection intensity threshold is greater than zero. In some embodiments described herein, one or more operations are performed in response to detecting a gesture that includes a respective press input or in response to detecting the respective press input performed with a respective contact or a plurality of contacts , where the respective press input is detected based at least in part on detecting an increase in intensity of the contact or plurality of contacts above a press-input intensity threshold.

In some embodiments, the respective operation is performed in response to detecting the increase in intensity of the respective contact above the press-input intensity threshold e. In some embodiments, the press input includes an increase in intensity of the respective contact above the press-input intensity threshold and a subsequent decrease in intensity of the contact below the press-input intensity threshold, and the respective operation is performed in response to detecting the subsequent decrease in intensity of the respective contact below the press-input threshold e.

Thus, in some embodiments, the press input includes an increase in intensity of the respective contact above the press-input intensity threshold and a subsequent decrease in intensity of the contact below the hysteresis intensity threshold that corresponds to the press-input intensity threshold, and the respective operation is performed in response to detecting the subsequent decrease in intensity of the respective contact below the hysteresis intensity threshold e. Similarly, in some embodiments, the press input is detected only when the device detects an increase in intensity of the contact from an intensity at or below the hysteresis intensity threshold to an intensity at or above the press-input intensity threshold and, optionally, a subsequent decrease in intensity of the contact to an intensity at or below the hysteresis intensity, and the respective operation is performed in response to detecting the press input e.

Additionally, in examples where an operation is described as being performed in response to detecting a decrease in intensity of a contact below the press-input intensity threshold, the operation is, optionally, performed in response to detecting a decrease in intensity of the contact below a hysteresis intensity threshold corresponding to, and lower than, the press-input intensity threshold.

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In some examples, digital assistant system can be implemented on a standalone computer system. In some examples, digital assistant system can be distributed across multiple computers. In some examples, some of the modules and functions of the digital assistant can be divided into a server portion and a client portion, where the client portion resides on one or more user devices e. It should be noted that digital assistant system is only one example of a digital assistant system, and that digital assistant system can have more or fewer components than shown, may combine two or more components, or may have a different configuration or arrangement of the components.

These components can communicate with one another over one or more communication buses or signal lines In some examples, e. In some examples, digital assistant system can represent the server portion of a digital assistant implementation, and can interact with the user through a client-side portion residing on a user device e. The wired communication port s can receive and send communication signals via one or more wired interfaces, e.

In some examples, memory , or the computer-readable storage media of memory , can store programs, modules, instructions, and data structures including all or a subset of: operating system , communications module , user interface module , one or more applications , and digital assistant module In particular, memory , or the computer-readable storage media of memory , can store instructions for performing process , described below. Communications module can facilitate communications between digital assistant system with other devices over network communications interface For example, communications module can communicate with RF circuitry of electronic devices such as devices , , and shown in FIG.

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US9326267B1 - Communication device - Google Patents

User interface module can also prepare and deliver outputs e. For example, if the digital assistant system is implemented on a standalone user device, applications can include user applications, such as games, a calendar application, a navigation application, or an email application. If digital assistant system is implemented on a server, applications can include resource management applications, diagnostic applications, or scheduling applications, for example. Memory can also store digital assistant module or the server portion of a digital assistant.

Each of these modules can have access to one or more of the following systems or data and models of the digital assistant module , or a subset or superset thereof: ontology , vocabulary index , user data , task flow models , service models , and ASR systems. In some examples, using the processing modules, data, and models implemented in digital assistant module , the digital assistant can perform at least some of the following: converting speech input into text; identifying a user's intent expressed in a natural language input received from the user; actively eliciting and obtaining information needed to fully infer the user's intent e.

In some examples, as shown in FIG. Each ASR system can include a front-end speech pre-processor. The front-end speech pre-processor can extract representative features from the speech input. For example, the front-end speech pre-processor can perform a Fourier transform on the speech input to extract spectral features that characterize the speech input as a sequence of representative multi-dimensional vectors.

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Further, each ASR system can include one or more speech recognition models e. Examples of speech recognition engines can include the dynamic time warping based engines and weighted finite-state transducers WFST based engines. The one or more speech recognition models and the one or more speech recognition engines can be used to process the extracted representative features of the front-end speech pre-processor to produce intermediate recognitions results e. In some examples, the speech input can be processed at least partially by a third-party service or on the user's device e.

Once STT processing module produces recognition results containing a text string e. More details on the speech-to-text processing are described in U. Utility application Ser. Each vocabulary word can be associated with one or more candidate pronunciations of the word represented in a speech recognition phonetic alphabet.

In particular, the vocabulary of recognizable words can include a word that is associated with a plurality of candidate pronunciations.

Further, vocabulary words can be associated with custom candidate pronunciations that are based on previous speech inputs from the user. Such custom candidate pronunciations can be stored in STT processing module and can be associated with a particular user via the user's profile on the device. In some examples, the candidate pronunciations can be manually generated, e.

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In some examples, the candidate pronunciations can be ranked based on the commonness of the candidate pronunciation.

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