EP1048025B1 - Procede de determination instrumentale de la qualite vocale - Google Patents

Procede de determination instrumentale de la qualite vocale Download PDF

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Publication number
EP1048025B1
EP1048025B1 EP99942871A EP99942871A EP1048025B1 EP 1048025 B1 EP1048025 B1 EP 1048025B1 EP 99942871 A EP99942871 A EP 99942871A EP 99942871 A EP99942871 A EP 99942871A EP 1048025 B1 EP1048025 B1 EP 1048025B1
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EP
European Patent Office
Prior art keywords
spectral
computed
speech signal
evaluated
signal
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Expired - Lifetime
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EP99942871A
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German (de)
English (en)
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EP1048025A1 (fr
Inventor
Jens Berger
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Deutsche Telekom AG
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Deutsche Telekom AG
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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/69—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for evaluating synthetic or decoded voice signals
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use

Definitions

  • the invention relates to a method for instrumental ("objective") Speech quality determination, by comparing the properties of one evaluating speech signal with properties of a reference speech signal (undisturbed Signal) characteristic values for determining the speech quality (speech quality) can be derived.
  • Speech quality determinations of speech signals are generally made using auditory ("subjective") investigations with test persons.
  • the goal of instrumental ("objective") procedures for determining speech quality is it, from properties of the speech signal to be evaluated by means of suitable computing methods To determine characteristic values that determine the speech quality of the speech signal to be assessed describe without having to resort to judgments from test subjects.
  • the calculated characteristic values and the underlying method for instrumental Speech quality assessment is considered recognized if there is a high correlation Results of auditory comparative examinations is achieved.
  • the means of auditory Examinations of speech quality values thus represent the target values that to be achieved through instrumental procedures.
  • Known methods for instrumental speech quality determination are based on a comparison of a reference speech signal with the speech signal to be evaluated.
  • the reference speech signal and the speech signal to be evaluated are segmented into short time segments.
  • the spectral properties of the two signals are compared in these segments.
  • Various approaches and models are used to calculate the spectral short-term properties.
  • the signal intensity is calculated in frequency bands whose width increases with increasing center frequency. Examples of such frequency bands are the known third octave bands or frequency groups according to Zwicker (published in Zwicker, E .: “Psychoakustik", Berlin: Springer-Verlag, 1982).
  • the spectral intensity map calculated in this way for each period of time under consideration can be understood as a series of numerical values in which the number of individual values of the The number of frequency bands used corresponds to the numerical values even the calculated ones Represent intensity values and a continuous index of the frequency bands the order which describes numerical values.
  • the calculated intensities are to be evaluated Voice signal and reference voice signal compared in each band.
  • the difference both values, or the similarity of the two resulting spectral values Intensity maps, is the basis for the calculation of a quality value (Fig. 1).
  • a disadvantage of the methods known today in such cases is that a comparison differences between the speech signal to be evaluated with a reference speech signal between the two signal sections in the selected display level in the calculative quality parameter that does not or hardly at all - also in audible test perceptible - lead to qualitative impairment.
  • Frequency band limits and spectral deformations of the speech signal to be evaluated contributes only to a limited extent to a perceived qualitative impairment.
  • the invention has as its object the influence of spectral limits and Deformations of the speech signal to be assessed and of spectral shifts Short-term maxima before comparing the spectral properties of a test item Signal with a reference speech signal and the calculation of a quality value in to reduce instrumental procedures.
  • one is used in the invention described here generated spectral weighting function based on medium spectral envelopes, e.g. the average spectral power density, of the speech signal to be evaluated and Reference speech signal based. This also enables the use of the method non-linear and time-variant transmission.
  • the evaluation function a (f) can weight the weighting function W T (f) differently over the effective range, in the simplest case it is constant 1.
  • the spectral weighting function W T (f) calculated in this way approximates the mean spectral envelopes of the speech signal and the reference speech signal to be evaluated, so that differences between the two spectral envelopes only have a reduced effect on the calculated quality value.
  • the spectral weighting function W T (f) can be applied to the reference speech signal.
  • the average spectral power density of the reference speech signal is approximated to the signal to be evaluated (FIG. 2a).
  • the spectral weighting function can be inverted to the signal to be evaluated be applied. This is equalized and, with regard to its middle one spectral power density, approximated to the reference speech signal (Fig. 2b).
  • Another part of the invention relates to the correction of displacements short-term spectral maxima caused by the transmission systems.
  • the intensity is integrated in frequency bands for each time period.
  • the result is one Series of intensity values for each spectral representation of a signal section, where each individual value represents the intensity in a frequency band.
  • the shifts Short-term spectral maxima can lead to deviating calculated intensities in the frequency bands of the reference speech signal and the speech signal to be evaluated.
  • variable band limits for calculating the spectral intensity mapping is not only limited to the signal in which the described spectral weighting function W T (f) is also used, but can also be applied to the other signal and even to both signals. (see FIGS. 2a and 2b).
  • a special embodiment shows an implementation according to FIG. 3, which is called TOSQA (Telecommunication Objective Speech Quality Assessment). This is done advanced preprocessing of the reference speech signal.
  • TOSQA Telecommunication Objective Speech Quality Assessment
  • Speech pauses are recognized by a speech pause recognizer and do not go into that Quality measure.
  • the reference speech signal and is also filtered evaluating speech signal with a bandpass 300 ... 3400 Hz and a filtering on the Frequency response of a telephone handset.
  • the integration of the spectral power density takes place in frequency groups, which are the basis for the calculation of specific loudness represent.
  • the calculated loudness patterns are in addition to the general approach supplemented by an error evaluation function.
  • the calculated quality value is over a Average of the correlation coefficients of the specific loudness for each considered short time segment over the number of evaluated language segments formed.

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  • Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Machine Translation (AREA)

Claims (6)

  1. Procédé de détermination instrumentale de qualité vocale, dans lequel la comparaison des propriétés spectrales temporaires d'un signal vocal à évaluer avec un signal vocal de référence permet de calculer des indicateurs servant à déterminer la qualité vocale, caractérisé en ce que
    avant la comparaison des propriétés des signaux vocaux, les écarts dans les enveloppes spectrales moyennes sont réduits en calculant tout d'abord à partir de celles-ci une fonction de pondération spectrale à l'aide de laquelle les propriétés spectrales temporaires des signaux vocaux sont pondérées dans tous les segments de temps considérés, de sorte que les écarts dans les enveloppes spectrales moyennes ne se répercutent que d'une manière limitée dans l'indicatif de qualité à calculer, et
    en ce que les limites des bandes de fréquence utilisées pour le calcul de l'intensité du signal sont variables, de sorte que pour chaque segment de signal considéré, les intensités calculées du signal vocal de référence et du signal à évaluer accusent entre elles, dans toutes les bandes de fréquence considérées, des écarts aussi faibles que possible.
  2. Procédé selon la revendication 1, caractérisé en ce que les enveloppes spectrales moyennes du signal vocal à évaluer et du signal vocal de référence sont tout d'abord calculées sous forme d'un spectre de puissance moyen et qu'une fonction de pondération spectrale Wτ(f) est déterminée à partir du quotient des deux spectres, avec laquelle les spectres de puissance temporaires du signal vocal de référence sont pondérés avant le calcul d'un indicateur de qualité.
  3. Procédé selon les revendications 1 et 2, caractérisé en ce que la fonction de pondération Wτ(f) n'est calculée que pour des parties de l'enveloppe spectrale moyenne calculée du signal vocal à évaluer et du signal vocal de référence, de sorte que les écarts dans les enveloppes spectrales moyennes entre les deux signaux ne sont réduits que dans certaines parties du spectre.
  4. Procédé selon les revendications 1 à 3, caractérisé en ce que, avant le calcul des indicateurs de, qualité, une intégration de l'intensité du signal a lieu en groupes de fréquences pour chaque court intervalle de temps considéré, les limites des groupes de fréquences étant variable sur l'axe des fréquences, alors que la largeur des groupes de fréquences reste constant sur l'échelle de tonie, et en ce que le volume sonore spécifique est calculé à partir des intensités de signal dans les groupes de fréquences, avec utilisation des limites des groupes de fréquences pour lesquelles les différences de volume sonore spécifique calculées entre le signal à évaluer et le signal vocal de référence accusent la plus faible différence dans la bande et l'intervalle de temps considérés.
  5. Procédé selon les revendications 1 à 4, caractérisé en ce que l'indicateur de qualité est calculé à partir de la similitude des représentations spectrales dans chaque intervalle de temps considéré, la similitude étant exprimée par un coefficient de corrélation moyen pour tous les intervalles de temps considérés entre la représentation spectrale du signal vocal à évaluer et la représentation spectrale du signal vocal de référence dans l'intervalle de temps correspondant.
  6. Procédé selon la revendication 5, caractérisé en ce que le coefficient de corrélation entre la représentation spectrale du signal vocal à évaluer et la représentation spectrale du signal vocal de référence dans l'intervalle de temps correspondant n'est calculé que pour une partie de la représentation spectrale, c'est-à-dire que, pour le calcul de l'indicateur de qualité, les valeurs spectrales calculées ne sont pas toutes prises en considération.
EP99942871A 1998-08-27 1999-08-14 Procede de determination instrumentale de la qualite vocale Expired - Lifetime EP1048025B1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE19840548A DE19840548C2 (de) 1998-08-27 1998-08-27 Verfahren zur instrumentellen Sprachqualitätsbestimmung
DE19840548 1998-08-27
PCT/EP1999/005972 WO2000013173A1 (fr) 1998-08-27 1999-08-14 Procede de determination instrumentale de la qualite vocale

Publications (2)

Publication Number Publication Date
EP1048025A1 EP1048025A1 (fr) 2000-11-02
EP1048025B1 true EP1048025B1 (fr) 2003-11-05

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EP99942871A Expired - Lifetime EP1048025B1 (fr) 1998-08-27 1999-08-14 Procede de determination instrumentale de la qualite vocale

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US (1) US7013266B1 (fr)
EP (1) EP1048025B1 (fr)
AT (1) ATE253765T1 (fr)
CA (1) CA2305652A1 (fr)
DE (2) DE19840548C2 (fr)
WO (1) WO2000013173A1 (fr)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2001236293A1 (en) * 2000-02-29 2001-09-12 Telefonaktiebolaget Lm Ericsson (Publ) Compensation for linear filtering using frequency weighting factors
EP1241663A1 (fr) * 2001-03-13 2002-09-18 Koninklijke KPN N.V. Procédé et dispositif pour déterminer la qualité d'un signal vocal
EP1292036B1 (fr) * 2001-08-23 2012-08-01 Nippon Telegraph And Telephone Corporation Méthodes et appareils de decodage de signaux numériques
DE10142846A1 (de) * 2001-08-29 2003-03-20 Deutsche Telekom Ag Verfahren zur Korrektur von gemessenen Sprachqualitätswerten
DE10150519B4 (de) * 2001-10-12 2014-01-09 Hewlett-Packard Development Co., L.P. Verfahren und Anordnung zur Sprachverarbeitung
EP1492084B1 (fr) * 2003-06-25 2006-05-17 Psytechnics Ltd Appareil et procédé pour l'évaluation binaurale de la qualité
US7305341B2 (en) * 2003-06-25 2007-12-04 Lucent Technologies Inc. Method of reflecting time/language distortion in objective speech quality assessment
PT1792304E (pt) * 2004-09-20 2008-12-04 Tno Compensação de frequência para análise de percepção de voz
EP2249333B1 (fr) * 2009-05-06 2014-08-27 Nuance Communications, Inc. Procédé et appareil d'évaluation d'une fréquence fondamentale d'un signal vocal
EP2474975B1 (fr) * 2010-05-21 2013-05-01 SwissQual License AG Procédé d'évaluation de la qualité vocale
US9373341B2 (en) * 2012-03-23 2016-06-21 Dolby Laboratories Licensing Corporation Method and system for bias corrected speech level determination
CN112233693B (zh) * 2020-10-14 2023-12-01 腾讯音乐娱乐科技（深圳）有限公司 一种音质评估方法、装置和设备

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DE3708002A1 (de) * 1987-03-12 1988-09-22 Telefonbau & Normalzeit Gmbh Messverfahren zum beurteilen der guete von sprachcodierern und/oder uebertragungsstrecken
US4860360A (en) * 1987-04-06 1989-08-22 Gte Laboratories Incorporated Method of evaluating speech
GB9213459D0 (en) 1992-06-24 1992-08-05 British Telecomm Characterisation of communications systems using a speech-like test stimulus
SE517836C2 (sv) * 1995-02-14 2002-07-23 Telia Ab Metod och anordning för fastställande av talkvalitet
NL9500512A (nl) * 1995-03-15 1996-10-01 Nederland Ptt Inrichting voor het bepalen van de kwaliteit van een door een signaalbewerkingscircuit te genereren uitgangssignaal, alsmede werkwijze voor het bepalen van de kwaliteit van een door een signaalbewerkingscircuit te genereren uitgangssignaal.
ES2161965T3 (es) * 1996-05-21 2001-12-16 Koninkl Kpn Nv Dispositivo y procedimiento para la determinacion de la calidad de una señal de salida, para ser generada por un circuito de procesamiento de señal.

Also Published As

Publication number Publication date
DE19840548C2 (de) 2001-02-15
WO2000013173A1 (fr) 2000-03-09
DE59907623D1 (de) 2003-12-11
EP1048025A1 (fr) 2000-11-02
ATE253765T1 (de) 2003-11-15
DE19840548A1 (de) 2000-03-02
US7013266B1 (en) 2006-03-14
CA2305652A1 (fr) 2000-03-09

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