Dynamic selection of voice quality over a wireless system

• US 9,327,193 B2
• Filed: 06/27/2008
• Issued: 05/03/2016
• 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, Filer, Eric, Reas, Loren D.
• Primary Examiner(s): Shah, Milap
• Application Number:
  US12/147,887
• Publication Number:
  US 20090325704A1
• Time in Patent Office: 2,867 Days
• Field of Search: 463 40- 43, 370/252, 370/278, 370/282, 370/329, 370/338, 370/419, 370/463
• US Class Current: 1/1
• 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 bandwidth over a wireless link in a gaming system between a video game console and at least one wireless peripheral of the video gaming console, comprising:

allocating portions of said bandwidth based at least in part on data to be transmitted over said wireless link between said video game console and said at least one wireless peripheral, wherein the allocating is based at least in part on content of data to be used in a video game application;

executing the video game application;

during execution of the video game application, receiving a data quality index indicative of a desired data quality measure for one or more types of said data to be transmitted over said wireless link between said video game console and said at least one wireless peripheral, the data quality index determined based on a context of the video game application; and

reallocating said portions of said bandwidth in accordance with said data quality index.

2. The method according to claim 1, further comprising providing an application programming interface (API) configured to receive said data quality measure.

3. The method according to claim 1, wherein said data quality measure is based at least in part on a scene descriptor.

4. The method according to claim 2, wherein said data quality measure is based at least in part on a data parameter received using said API.

5. The method according to claim 1, further comprising determining a data resolution as a function of said data quality measure.

6. The method according to claim 1, further comprising determining a data frequency as a function of said data quality measure.

7. The method according to claim 1 wherein said data quality measure is received from the at least one wireless peripheral over said wireless link.

8. The method according to claim 7, wherein said data quality measure is based on a user interaction with said wireless peripheral.

9. A method of allocating communication bandwidth in a wireless link in a gaming system, said wireless link usable to transmit data between a gaming console and a wireless peripheral, the data associated with at least two information sources in the gaming system, the method comprising:

allocating a first subset of said communication bandwidth for transmitting data from a first information source of the wireless peripheral to the gaming console;

allocating portions of said communication bandwidth not allocated to the first information source for transmitting data from a second information source of the wireless peripheral to the gaming console;

during execution of a video game application on the gaming console, receiving a data quality index indicative of a data quality measure for content of data to be transmitted over said wireless link between the gaming console and the wireless peripheral during said execution of said video game application, the data quality index determined based on a context of the video game application; and

re-allocating the first subset and the portions of said communication bandwidth not allocated to the first information source based at least in part on said data quality measure.

10. The method according to claim 9, further comprising providing an application programming interface (API) configured to receive said data quality measure from said video game application, wherein said data quality measure is based on a video game context.

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

12. The method according to claim 11 further comprising determining a voice sampling rate.

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

14. A computing system configured to subdivide a preallocated amount of bandwidth over a wireless link, the computing system comprising:

a video game console and at least one wireless peripheral, said wireless peripheral configured to transmit a plurality of data types over said wireless link, wherein the at least one wireless peripheral communicates with the video game console over said wireless link;

at least one processor; and

a memory communicatively coupled to said processor when said system is operational;

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

subdividing said bandwidth at least in part based on data to be transmitted over said wireless link between said video game console and said at least one wireless peripheral and assigning subdivided portions of said bandwidth based at least in part on a selected voice sample rate to be used in a video game application;

executing the video game application;

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

reallocating said subdivided portions of said bandwidth in accordance with said determining the quality index.

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

16. The computing system according to claim 14, wherein said voice sample rate is selected based at least in part on a scene descriptor.

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

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

19. The computing system according to claim 14, further comprising determining a data frequency as a function of said selected voice sample rate.

20. The computing system according to claim 14, wherein said selected voice sample rate is based on a user interaction with said wireless peripheral.