Dynamic selection of voice quality over a wireless system

• US 10,258,880 B2
• Filed: 03/29/2016
• Issued: 04/16/2019
• Est. Priority Date: 06/27/2008
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Tom, Dennis, Reas, Loren, Filer, Eric
• Primary Examiner(s): Shah, Milap
• Application Number:
  US15/084,198
• Publication Number:
  US 20160206956A1
• Time in Patent Office: 1,113 Days
• CPC Class Codes: A63F 13/10 Control of the course of the game, e.g. start, progess, end
• CPC Class Codes: A63F 13/211 using inertial sensors, e.g. accelerometers or gyroscopes
• CPC Class Codes: A63F 13/215 comprising means for detecting acoustic signals, e.g. using a microphone
• CPC Class Codes: A63F 13/235 using a wireless connection, e.g. infrared or piconet
• CPC Class Codes: A63F 13/31 Communication aspects specific to video games, e.g. between several handheld game devices at close range
• CPC Class Codes: A63F 13/335 using Internet
• CPC Class Codes: A63F 13/424 involving acoustic input signals, e.g. by using the results of pitch or rhythm extraction or voice recognition
• CPC Class Codes: A63F 13/45 Controlling the progress of the video game
• CPC Class Codes: A63F 2300/1031 using a wireless connection, e.g. Bluetooth, infrared connections
• CPC Class Codes: A63F 2300/1081 Input via voice recognition
• CPC Class Codes: A63F 2300/209 characterized by low level software layer, relating to hardware management, e.g. Operating System, Application Programming Interface
• CPC Class Codes: G10L 19/00 Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis in musical instruments G10H
• CPC Class Codes: H04L 41/0896 Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities flow or congestion control using dynamic resource allocation, e.g. in-call renegotiation, H04L47/76
• CPC Class Codes: H04L 47/76 using dynamic resource allocation, e.g. in-call renegotiation requested by the user or requested by the network in response to changing network conditions

Abstract

Various systems, methods, and computer readable instructions are disclosed herein for dynamically allocating fixed bandwidth over a wireless link between a video game console and a wireless peripheral device. In an embodiment, the voice sample rate in a wireless microphone may be dynamically adjusted to free up bandwidth that can be repurposed for other operations. The sample rate adjustment can range from maximum where the bandwidth is filled with voice data to a lesser sample rate. In the case where the sample rate is less than max, the freed up bandwidth can be for used for other operations.

Claims

1. A method of allocating finite data transmission capacity over a wireless link between a first computing device and a second computing device, the method comprising:

determining, by the first computing device, a distribution of the finite data transmission capacity based at least in part on content of data to be transmitted over the wireless link, wherein the data is associated with an application configured for execution on the first computing device;

executing the application on the first computing device;

during execution of the application on the first computing device, receiving an indication of a desired data quality for at least a portion of the content to be transmitted over said wireless link, wherein the indication is determined based on a real-time context of the executing application; and

adjusting the distribution of the finite data transmission capacity in accordance with the indication of desired data quality.

2. The method according to claim 1, further comprising providing an application programming interface (API) configured to receive the indication.

3. The method according to claim 1, wherein the indication is based at least in part on a scene descriptor.

4. The method according to claim 2, wherein the indication is based at least in part on a data parameter received via the API.

5. The method according to claim 1, further comprising determining a data resolution based on the indication.

6. The method according to claim 1, further comprising determining a data frequency based on the indication.

7. The method according to claim 1, wherein the indication is received from the second computing device over the wireless link.

8. The method according to claim 1, wherein the indication is based on a user interaction with the second computing device.

9. A method of allocating data transmission capacity in a wireless link, the wireless link usable to transmit data between a computing device and a wireless peripheral, the data associated with at least two data sources, the method comprising:

allocating a first portion of the data transmission capacity for transmitting data from a first data source of the wireless peripheral to the computing device;

allocating portions of the data transmission capacity that is not allocated to the first data source for transmitting data from a second data source of the wireless peripheral to the computing device;

during execution of an application on the computing device, receiving an indication of a data quality measure for content of data to be transmitted over the wireless link during the execution of the application, such data to be transmitted including one or both of the data from the first data source and the data from the second data source, the data quality measure determined based on a context of the application; and

re-allocating (1) data transmission capacity previously allocated to the first portion and (2) the portions of data transmission capacity not allocated to the first data source based at least in part on the data quality measure.

10. The method according to claim 9, further comprising executing an application programming interface (API) configured to receive the indication from the application, wherein the indication is based on a context of the application.

11. The method according to claim 9, further comprising transmitting at least one command to at least one wireless peripheral including the data quality measure.

12. The method according to claim 10 further comprising determining a voice sampling rate.

13. The method according to claim 11, wherein the at least command further indicates additional data to be transmitted in accordance with the first portion.

14. A computing system configured to subdivide a preallocated data transmission capacity over a wireless link, the computing system comprising:

a computing device and at least one wireless peripheral, the wireless peripheral configured to transmit a plurality of data types over the wireless link, wherein the at least one wireless peripheral is configured to communicate with the computing device over the wireless link;

the computing device comprising at least one processor and a memory communicatively coupled to the processor when the computing device is operational;

the memory having stored therein computer instructions that upon execution by the at least one processor cause;

subdividing the data transmission capacity at least in part based on data to be transmitted over the wireless link and assigning subdivided portions of the data transmission capacity based at least in part on a selected sample rate to be used by an application configured for execution on the computing device;

executing the application;

during execution of the application, determining that the selected sample rate has changed and determining a data quality measure for the selected sample rate; and

reallocating the subdivided portions of the data transmission capacity in accordance with a data quality index, the data quality index indicating a desired data quality measure.

15. The computing system according to claim 14, further comprising an application programming interface (API) configured to receive an indication of the selected sample rate.

16. The computing system according to claim 14, wherein the sample rate is selected based at least in part on a context of the application.

17. The computing system according to claim 15, wherein said the sample rate is selected based at least in part on a data parameter received using the API.

18. The computing system according to claim 14, further comprising determining a data resolution as a function of the selected sample rate.

19. The computing system according to claim 16, further comprising determining a data frequency as a function of the selected sample rate.

20. The computing system according to claim 16, wherein the selected sample rate is based on a user interaction with the wireless peripheral.