U.S. patents available from 1976 to present.
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Measuring a talking quality of a telephone link in a telecommunications network

Patent 7366663 Issued on April 29, 2008. Estimated Expiration Date: Icon_subject October 11, 2021. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

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Inventors

Assignee

Application

No. 10398263 filed on 10/11/2001

US Classes:

704/231, Recognition455/452.2, Based on service quality (e.g., bandwidth, etc.)455/67.13, Noise, distortion, or unwanted signal detection (e.g., quality control, etc.)455/135, By signal quality (e.g., signal to noise ratio)455/161.3, Using signal strength or quality381/110, VOICE CONTROLLED370/280, Time division379/202.01, Conferencing704/221, Pattern matching vocoders455/62, Optimum frequency selection381/151, Body contact wave transfer (e.g., bone conduction earphone, larynx microphone)455/437Mobile assisted or initiated

Examiners

Primary: Opsasnick, Michael N.

Attorney, Agent or Firm

Foreign Patent References

  • WO 98/59509 WO 12/01/1998

International Class

G10L 15/00

Abstract

For measuring the influence of noise on the talking quality of a telephone link in a telecommunications network, a talker speech signal (s(t)) and a degraded speech signal (s′(t)) are fed to an objective measurement device for obtaining an output signal (q) representing an estimated value of the talking quality. The degraded signal includes a returned signal (r(t)) originating from the network during transmission of the talker speech signal over the telephone link. The objective measurement provided by the device is a modified PSQM-like measurement, which is modified to include modelling of masking effects resulting from noise present in the returned signal. Preferably, the modelling includes noise suppression performed on a difference signal (D(t,f)) in a loudness density domain using noise estimation.

Other References

  • Saeed V. Vaseghi et al, “Noise Compensation Methods for Hidden Markov Model Speech Recognition in Adverse Environments”, IEEE Transactions on Speech and Audio Processing, vol. 5, No. 1, Jan. 1997, pp. 11-21.
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