PROGRAMM - DAGA 2012

Programm DAGA 2012 125Di. 17:20 radon 3.05 SprachverarbeitungInstrumental Musical Tones Measurement of Arbitrary Noise ReductionSystemsH. Yu und T. FingscheidtTU Braunschweig, Institut für NachrichtentechnikInstrumental measurement of noise reduction systems has to deal withseveral aspects such as the speech component quality, the level of noiseattenuation, and noise distortion in terms of musical tones. Severalmethods exist already for the first two aspects, while the instrumentalmeasurement of musical tones still remains a challenging task. Recently,the exploration of the log-kurtosis ratio for instrumentally measuringmusical tones has led to white box test methodologies requiring specificinformation of the particular noise reduction algorithm. In this paper, anew instrumental musical tones measurement is proposed, which enablesmusical tones measurement with unknown noise reduction systemsin a black box test. The proposed instrumental measure has been verifiedby a subjective listening test.Di. 17:45 radon 3.05 SprachverarbeitungÜber ein neues Verfahren zur RückkopplungsreduzierungH. Pastillé und R. SehlmeyerIAV GmbHInnenraumkommunikationssysteme in Kraftfahrzeugen stoßen an ihreGrenzen, wenn es darum geht, die Sprachübertragung mit dem nötigenPegel auszustatten, um die spektrale Ergänzung umzusetzen. Die Systemegeraten leicht in die Rückkopplung, als Vorstufe klingt die Stimmeoft schon ”blechern”. Das hier vorgestellte Verfahren erlaubt eine Erhöhungder Verstärkung um durchschnittlich 2 dB. Als Einschränkung mussangemerkt werden, dass dieses Verfahren nur für Sprache tauglich ist.Di. 18:10 radon 3.05 SprachverarbeitungReference-free SNR Measurement for Speech in Car NoiseB. Fodor und T. FingscheidtTU Braunschweig, Institut für NachrichtentechnikSignal-to-noise (SNR) measurement of noisy speech signals is an importanttopic in automotive environments, e.g., for investigating optimalmicrophone positions. This contribution presents an SNR measurementmethod for speech signals distorted by car noise within a typical rangeof SNR values. The proposed method offers low complexity and aims atproviding similar results as SNR measurements based on active speechand noise levels obtained from ITU-T Recommendation P.56, however,in a reference-free fashion. ”Reference-free” means that the SNR is estimatedby means of only the noisy speech signal, i.e., no clean speechor noise reference signals are used. Within the measuring process, thespeech and noise power are estimated separately. The SNR is then calculatedas the ratio between the estimated speech and noise powers.