Update README.md

README.md

@@ -29,7 +29,7 @@ signal-to-noise ratios (SNRs), while the EPSM path uses short-time envelope powe
 comparison of existing SI models for several spectro-temporal manipulations of speech
 maskers and gender combinations of target and masker speakers [Schubotz et al. (2016). J. Acoust.
 Soc. Am. 140, 524-540] showed the importance of short-time power features. Conversely,
-J?rgensen et al. [(2013). J. Acoust. Soc. Am. 134, 436-446] demonstrated a higher predictive
+Jørgensen et al. [(2013). J. Acoust. Soc. Am. 134, 436-446] demonstrated a higher predictive
 power of short-time envelope power SNRs than power SNRs using reverberation and spectral
 subtraction. Here the GPSM was extended to utilize short-time power SNRs and was shown to
 account for all psychoacoustic and SI data of the three mentioned studies. The best processing strategy
@@ -68,5 +68,5 @@ Following external Matlab functions were used within the mrGPSM.
   synthesis using a Gammatone filterbank", Acta Acustica united with Acustica, vol. 88, no.3, 
   pp. 433-442. 2002)
 * 'MFB2.m' from Stephan D. Ewert and T. Dau
-* 'IdealObserver_v1.m' and 'Plot_SSN.m' from S?ren J?rgensen
+* 'IdealObserver_v1.m' and 'Plot_SSN.m' from Søren Jørgensen