< Master index Index for v_mfiles >

Index for v_mfiles

Matlab files in this directory:

 ContentsVoicebox: Speech Processing Toolbox for MATLAB
 v_activlevV_ACTIVLEV Measure active speech level as in ITU-T P.56 [LEV,AF,FSO]=(sp,FS,MODE)
 v_activlevgV_ACTIVLEVG Measure active speech level robustly [LEV,AF,FSO]=(sp,FS,MODE)
 v_addnoiseV_ADDNOISE Add noise at a chosen SNR [z,p,fso]=(s,fsx,snr,m,nb,fsa)
 v_atan2scV_ATAN2SC sin and cosine of atan(y/x) [S,C,R,T]=(Y,X)
 v_axisenlargeV_AXISENLARGE - enlarge the axes of a figure (f,h)
 v_bark2frqV_BARK2FRQ Convert the BARK frequency scale to Hertz FRQ=(BARK)
 v_berk2probV_BERK2PROB convert Berksons to probability
 v_besselratioV_BESSELRATIO calculate the Bessel function ratio besseli(v+1,x)./besseli(v,x)
 v_besselratioiV_BESSELRATIOI calculate the inverse Bessel function ratio
 v_bitsprecV_BITSPREC round values to a specified fixed or floating precision (X,N,MODE)
 v_cblabelV_CBLABEL add a label to a colorbar c=(l,h)
 v_ccwarpfV_CCWARPF Warp cepstral coefficients M=(F,N,S)
 v_cent2frqV_FRQ2ERB Convert Hertz to Cents frequency scale [C,CR]=(FRQ)
 v_cep2powV_CEP2POW convert cepstral means and variances to the power domain
 v_chimvV_CHIMV approximate mean and variance of non-central chi distribution [m,v]=(n,l,s)
 v_choosenkV_CHOOSENK All choices of K elements taken from 1:N [X]=(N,K)
 v_choosrnkV_CHOOSRNK All choices of K elements taken from 1:N with replacement. [X]=(N,K)
 v_colormapV_COLORMAP set and plot color map
 v_convfftV_CONFFT 1-D convolution or correlation using FFT
 v_correlogramV_CORRELOGRAM calculate correlogram [y,ty]=(x,inc,nw,nlag,m,fs)
 v_distcharV_DISTCHAR calculates the cosh spectral distance between AR coefficients D=(AR1,AR2,MODE)
 v_distchpfV_DISTCHPF calculates the cosh spectral distance between power spectra D=(PF1,PF2,MODE)
 v_disteusqV_DISTEUSQ calculate euclidean, squared euclidean or mahanalobis distance D=(X,Y,MODE,W)
 v_distisarV_DISTISAR calculates the Itakura-Saito distance between AR coefficients D=(AR1,AR2,MODE)
 v_distispfV_DISTISPF calculates the Itakura-Saito spectral distance between power spectra D=(PF1,PF2,MODE)
 v_distitarV_DISTITAR calculates the Itakura distance between AR coefficients D=(AR1,AR2,MODE)
 v_distitpfV_DISTITPF calculates the Itakura spectral distance between power spectra D=(PF1,PF2,MODE)
 v_ditherqV_DITHERQ add dither and quantize [Y,ZF]=(X,M,ZI)
 v_dlyapsqV_DLYAPSQ Solves the discrete Lyapunov equation AV'VA' - V'V + BB' = 0
 v_dualdiagV_DUALDIAG Simultaneous diagonalisation of two hermitian matrices [A,D,E]=(W,B)
 v_dypsaV_DYPSA Derive glottal closure instances from speech [gci,goi] = (s,fs)
 v_enframeV_ENFRAME split signal up into (overlapping) frames: one per row. [F,T]=(X,WIN,HOP)
 v_entropyV_ENTROPY calculates the v_entropy of discrete and sampled continuous distributions H=(P,DIM,COND,ARG,STEP)
 v_erb2frqV_ERB2FRQ Convert ERB frequency scale to Hertz FRQ=(ERB)
 v_estnoisegV_ESTNOISEG - estimate MMSE noise spectrum [x,zo]=(yf,tz,pp)
 v_estnoisemV_ESTNOISEM - estimate noise spectrum using minimum statistics
 v_ewgrpdelV_EWGRPDEL calculates the energy weighted group delay waveform Y=(X,W,M)
 v_fig2emfV_FIG2EMF save a figure in windows metafile format (H,S,P)
 v_fig2pdfV_FIG2EMF save a figure in pdf/eps/ps formats (H,S,P,F)
 v_figboldenV_FIGBOLDEN embolden, resize and recolour the current figure =(POS,PV,M)
 v_filtbankmV_FILTBANKM determine matrix for a linear/mel/erb/bark-spaced v_filterbank [X,IL,IH]=(P,N,FS,FL,FH,W)
 v_filterbankV_FILTERBANK appply v_filterbank to a signal: [y,zo]=(b,a,x,gd)
 v_findpeaksV_FINDPEAKS finds peaks with optional quadratic interpolation [K,V]=(Y,M,W,X)
 v_finishatV_FINISHAT print estimated finish time of a long computation (FRAC,TOL,FMT)
 v_fopenmkdV_FOPENMKD is the same as FOPEN but creates any missing directories [fid,mes]=(fn,pe,mf,en)
 v_frac2binV_FRAC2BIN Convert an column vector to binary S=(D,N,M)
 v_fram2wavV_FRAM2WAV converts frame values to a continuous waveform [W]=(X,TT,MODE)
 v_frq2barkV_FRQ2BARK Convert Hertz to BARK frequency scale BARK=(FRQ)
 v_frq2centV_FRQ2ERB Convert Hertz to Cents frequency scale [C,CR]=(FRQ)
 v_frq2erbV_FRQ2ERB Convert Hertz to ERB frequency scale ERB=(FRQ)
 v_frq2melV_FRQ2ERB Convert Hertz to Mel frequency scale MEL=(FRQ)
 v_frq2midiV_FRQ2MIDI Convert frequencies to musical note numbers [N,T]=(F)
 v_fxpefacV_FXPEFAC PEFAC pitch tracker [FX,TT,PV,FV]=(S,FS,TINC,M,PP)
 v_fxraptV_FXRAPT RAPT pitch tracker [FX,VUV]=(S,FS,M,Q)
 v_gammabankV_GAMMABANK gammatone filter bank [b,a,fx,bx,gd]=(n,fs,w,fc,bw,ph,k)
 v_gammalnsV_GAMMALNS Log of Gamma(x) for positive or negative real x [y,s]=(x)
 v_gausprodV_GAUSPROD calculates a product of gaussians [G,U,K]=(M,C)
 v_gaussmixV_GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,g,f]=(x,c,l,m0,v0,w0,wx)
 v_gaussmixdV_GAUSSMIXD marginal and conditional Gaussian mixture densities
 v_gaussmixgV_GAUSSMIXG global mean, variance and mode of a GMM
 v_gaussmixkV_GAUSSMIXK approximate Kullback-Leibler divergence between two GMMs + derivatives
 v_gaussmixmV_GAUSSMIXM estimate mean and variance of the magnitude of a GMM
 v_gaussmixpV_GAUSSMIXP calculate probability densities from or plot a Gaussian mixture model
 v_gaussmixtV_GAUSSMIXT Multiply two GMM pdfs
 v_glotlfV_GLOTLF Liljencrants-Fant glottal model U=(D,T,P)
 v_glotrosV_GLOTROS Rosenberg glottal model U=(D,T,P)
 v_gmmlpdfV_GMMLPDF obsolete function - please use GAUSSMIXP instead
 v_histndimV_HISTNDIM - generates and/or plots an n-dimensional histogram
 v_horizdiffV_HORIZDIFF - Estimates the horizontal difference between two functions of x
 v_hostipinfoV_HOSTIPINFO get host name and internet connection information
 v_huffmanV_HUFFMAN calculates a D-ary v_huffman code [CC,LL]=(P,A)
 v_hypergeom1f1V_HYPERGEOM1F1 Confluent hypergeometric function, 1F1 a.k.a Kummer's M function [h,l]=(a,b,z,tol,maxj)
 v_imagehomogV_IMAGEHOMOG Apply a homography transformation to an image with bilinear interpolation
 v_importsiiV_IMPORTSII calculates the SII importance function per Hz or per Bark Q=(F,M)
 v_irdctV_IRDCT Inverse discrete cosine transform of real data X=(Y,N)
 v_irfftV_IRFFT Inverse fft of a conjugate symmetric spectrum X=(Y,N,D)
 v_kmeanharV_KMEANHAR Vector quantisation using K-harmonic means algorithm [X,G,XN,GG]=(D,K,L,E,X0)
 v_kmeanlbgV_KMEANLBG Vector quantisation using the Linde-Buzo-Gray algorithm [X,ESQ,J]=(D,K)
 v_kmeansV_KMEANS Vector quantisation using K-means algorithm [X,ESQ,J]=(D,K,X0,L)
 v_lambda2rgbV_LAMBDA2XYZ Convert wavelength to XYZ or RGB colour space X=(L,M)
 v_ldatraceV_LDATRACE Calculates an LDA transform to maximize trace discriminant [a,f,B,W]=(b,w,n,c)
 v_lin2pcmaV_LIN2PCMA Convert linear PCM to A-law P=(X,M,S)
 v_lin2pcmuV_LIN2PCMU Convert linear to Mu-law PCM P=(X,S)
 v_lognmpdfV_LOGNMPDF calculate pdf of a multivariate lognormal distribution P=(X,M,V)
 v_logsumV_LOGSUM v_logsum(x,d,k)=log(sum(k.*exp(x),d))
 v_lpcaa2aoV_LPCAA2AO LPC: Convert area function to area ratios AO=(AA)
 v_lpcaa2dlV_LPCAA2DL LPC: Convert area coefficients to dct of log area DL=(AA)
 v_lpcaa2rfV_LPCAA2RF LPC: Convert vocal tract areas to reflection coefficients RF=(AA)
 v_lpcao2rfV_LPCAO2RF LPC: Convert area ratios to reflection coefficients RF=(AO)
 v_lpcar2amV_LPCAR2AM Convert ar coefs to ar coef matrix [AM,EM]=(AR,P)
 v_lpcar2ccV_LPCAR2CC LPC: Convert AR filter to complex cepstrum [CC,C0]=(AR,NP)
 v_lpcar2dbV_LPCAR2DB LPC: Convert AR coefs to power spectrum in dB DB=(AR)
 v_lpcar2ffV_LPCAR2FF LPC: Convert AR coefs to complex spectrum FF=(AR,NP)
 v_lpcar2fmV_LPCAR2RF Convert autoregressive coefficients to formant freq+amp+bw [N,F,A,B]=(AR,T)
 v_lpcar2imV_LPCAR2IM Convert AR coefs to impulse response IM=(AR,NP)
 v_lpcar2lsV_LPCAR2LS convert ar polynomial to line spectrum pair frequencies LS=(AR)
 v_lpcar2pfV_LPCAR2PF Convert AR coefs to power spectrum PF=(AR,NP)
 v_lpcar2ppV_LPCAR2PP LPC: Convert ar filter to power spectrum polynomial in cos(w) PP=(AR)
 v_lpcar2raV_LPCAR2RA Convert ar filter to inverse filter autocorrelation coefs. RA=(AR)
 v_lpcar2rfV_LPCAR2RF Convert autoregressive coefficients to reflection coefficients AR=(RF)
 v_lpcar2rrV_LPCAR2RR Convert autoregressive coefficients to autocorrelation coefficients RR=(AR,P)
 v_lpcar2zzV_LPCAR2ZZ Convert ar filter to z-plane poles ZZ=(AR)
 v_lpcautoV_LPCAUTO performs autocorrelation LPC analysis [AR,E,K]=(S,P,T)
 v_lpcbwexpV_LPCBWEXP expand formant bandwidths of LPC filter ARX=(AR,BW)
 v_lpccc2arV_LPCCC2AR Convert complex cepstrum to ar coefficients AR=(CC)
 v_lpccc2ccV_LPCCC2PF Extrapolate complex cepstrum C=(CC)
 v_lpccc2dbV_LPCCC2DB Convert complex cepstrum to dB power spectrum DB=(CC,NP,NC)
 v_lpccc2ffV_LPCCC2FF Convert complex cepstrum to complex spectrum FF=(CC,NP,NC)
 v_lpccc2pfV_LPCCC2PF Convert complex cepstrum to power spectrum PF=(CC,NP,NC)
 v_lpcconvV_LPCCONV(from,to,x,y)->s convert between LPC parameter sets
 v_lpccovarV_LPCCOVAR performs covariance LPC analysis [AR,E,DC]=(S,P,T)
 v_lpccw2zzV_LPCPZ2ZZ LPC: Power spectrum roots to LPC poles ZZ=(CW)
 v_lpcdb2pfV_LPCDB2PF Convert decibel power spectrum to power spectrum PF=(DB)
 v_lpcdl2aaV_LPCDL2AA dct of log area to area coefficients AA=(DL)
 v_lpcff2pfV_LPCFF2PF Convert complex spectrum to power spectrum PF=(FF)
 v_lpcfq2zzV_LPCFQ2ZZ Convert frequencies and q factors to z-plane poles ZZ=(F,Q)
 v_lpcifiltV_LPCIFILT Apply inverse filter to speech signal U=(S,AR,T,DC,FADE)
 v_lpcim2arV_LPCIM2AR Convert impulse response to AR coefs AR=(IM)
 v_lpcis2rfV_LPCRF2IS Convert inverse sines to reflection coefficients RF=(IS)
 v_lpcla2rfV_LPCLA2RF Convert log areas to reflection coefficients RF=(LA)
 v_lpclo2rfV_LPCLO2RF Convert log area ratios to reflection coefficients RF=(LO)
 v_lpcls2arV_LPCLS2AR convert line spectrum pair frequencies to ar polynomial AR=(LS)
 v_lpcpf2ccV_LPCPF2CC Convert power spectrum to complex cepstrum CC=(PF,NP)
 v_lpcpf2ffV_LPCPF2FF Convert power spectrum to complex spectrum [FF,FO]=(PF,NP,FI)
 v_lpcpf2rrV_LPCPF2RR convert power spectrum to autocorrelation coefs RR=(PF,P)
 v_lpcpp2cwV_LPCPP2PZ LPC: Convert power spectrum polynomial in cos(w) to power spectrum zeros CW=(RP)
 v_lpcpp2pzV_LPCPP2PZ LPC: Convert power spectrum polynomial in cos(w) to power spectrum zeros PZ=(RP)
 v_lpcpz2zzV_LPCPZ2ZZ LPC: Power spectrum roots to LPC poles ZZ=(PZ)
 v_lpcra2arV_LPCRA2AR Convert inverse filter autocorrelation coefs to AR filter. AR=(RA)
 v_lpcra2pfV_LPCAR2PF Convert AR coefs to power spectrum PF=(RA,NP)
 v_lpcra2ppV_LPCAR2PP LPC: Convert ar filter autocorrelation to power spectrum polynomial in cos(w) PP=(RA)
 v_lpcrandV_LPCRAND generate random stable polynomials AR=(P,N,BW)
 v_lpcrf2aaV_LPCRF2AA Convert reflection coefficients to area function AA=(RF)
 v_lpcrf2aoV_LPCRF2AO Convert reflection coefficients to area ratios AO=(RF)
 v_lpcrf2arV_LPCRF2AR Convert reflection coefs to autoregressive coefs [AR,ARP,ARU,G]=(RF)
 v_lpcrf2isV_LPCRF2IS Convert reflection coefficients to inverse sines IS=(RF)
 v_lpcrf2laV_LPCRF2LA Convert reflection coefficients to log areas LA=(RF)
 v_lpcrf2loV_LPCRF2LO Convert reflection coefficients to log area ratios LO=(RF)
 v_lpcrf2rrV_LPCRR2AR convert reflection coefs to autocorrelation coefs [RR,AR]=(RF,P)
 v_lpcrr2amV_LPCRR2AM Convert autocorrelation coefs to ar coef matrix [AM,EM]=(RR)
 v_lpcrr2arV_LPCRR2AR convert autocorrelation coefs to ar coefs [AR,E]=(RR)
 v_lpcss2zzV_LPCSS2ZZ Convert s-place poles to z-plane poles ZZ=(SS)
 v_lpcstableV_LPCSTABLE Test AR coefficients for stability and stabilize if necessary [MA,A]=(AR)
 v_lpczz2arV_LPCZZ2AR Convert z-place poles to ar coefficients AR=(ZZ)
 v_lpczz2ccV_LPCZZ2CC Convert poles to "complex" cepstrum CC=(ZZ,NP)
 v_lpczz2ssV_LPCZZ2SS Convert z-place poles to s-plane poles SS=(ZZ)
 v_m2htmlpwdV_M2HTMLPWD - create html documentation of files in current directory
 v_maxfiltV_MAXFILT find max of an exponentially weighted sliding window [Y,K,Y0]=(X,F,nn,D,X0)
 v_maxgaussV_MAXGAUSS determine gaussian approximation to max of a gaussian vector [p,u,v,r]=(m,c,d)
 v_meansqtfV_AVEPSPEC calculates the mean square transfer function for a filter D=(B,A)
 v_mel2frqV_MEL2FRQ Convert Mel frequency scale to Hertz FRQ=(MEL)
 v_melbankmV_MELBANKM determine matrix for a mel/erb/bark-spaced filterbank [X,MN,MX]=(P,N,FS,FL,FH,W)
 v_melcepstV_MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH)
 v_midi2frqV_MIDI2FRQ Convert musical note numbers to frequencies F=(N,S)
 v_minspaneV_MINSPANE calculate minimum spanning tree using euclidean distance [p,s]=X
 v_mintraceV_MINTRACE find row permutation to minimize the trace p=(x)
 v_modspectV_MODSPECT Calculate the modulation spectrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH)
 v_momfiltV_MOMFILT calculates moments of a signal using a sliding window Y=(X,R,W,M)
 v_mos2pesqV_MOS2PESQ convert MOS speech quality scores to PESQ p=(m)
 v_nearnonzV_NEARNONZ replace each zero element with the nearest non-zero element [V,Y,W]=v_nearnonz(X,D)
 v_normcdflogV_NORMCDFLOG calculates log of Normal Cumulative Distribution function p=(x,m,s)
 v_overlapaddV_OVERLAPADD join overlapping frames together X=(F,WIN,INC)
 v_paramsetchV_PARAMSETCH update and check parameter values p=(d,q,m,c,t)
 v_pcma2linV_PCMU2LIN Convert A-law PCM to linear X=(P,M,S)
 v_pcmu2linV_PCMU2LIN Convert Mu-law PCM to linear X=(P,S)
 v_pdfmomentsV_PDFMOMENTS convert between central moments, raw moments and cumulants [C,R,K]=(T,M,B,A)
 v_peak2dquadV_PEAK2DQUAD find quadratically-interpolated peak in a 2D array
 v_permutesV_PERMUTES All N! permutations of 1:N + signatures [P,S]=(N)
 v_pesq2mosV_PESQ2MOS convert PESQ speech quality scores to MOS m=(p)
 v_phon2soneV_PHON2SONE convert PHON loudness values to SONEs s=(p)
 v_polygonareaV_POLYGONAREA Calculate the area of a polygon
 v_polygonwindV_POLYGONWIND Test if points are inside a polygon
 v_polygonxlineV_POLYGONXLINE Find where a line crosses a polygon [xc,ec,tc,xy0]=(p,l)
 v_potsbandV_POTSBAND Design filter for 300-3400 telephone bandwidth [B,A]=(FS)
 v_pow2cepV_POW2CEP convert power domain means and variances to the cepstral domain
 v_ppmvuV_PPMVU calculate PPM, VU or EBU level of an audio signal [V,FX,FX1]=(X,FSX,M)
 v_prob2berkV_PROB2BERK convert probability to Berksons
 v_psycdigitV_PSYCDIGIT measures psychometric function using TIDIGITS stimuli
 v_psycestV_PSYCEST estimate multiple psychometric functions
 v_psycestuV_PSYCESTU estimate unimodal psychometric function
 v_psychofuncV_PSYCHOFUNC Calculate psychometric functions: trial success probability versus SNR
 v_qrabsV_QRABS absolute value and normalization of a real quaternions [m,q]=[q1]
 v_qrdivideV_QRDIVIDE divdes two real quaternions q=[q1,q2]
 v_qrdotdivV_QRDOTDIV divides two real quaternions arrays elementwise q=[x,y]
 v_qrdotmultV_QRDOTMULT multiplies together two real quaternions arrays q=[q1,q2]
 v_qrmultV_QRMULT multiplies together two real quaternions matrices q=[q1,q2]
 v_qrpermuteV_QRPERMUTE transpose or permute a quaternion array y=[x,p]
 v_quadpeakV_PEAK2DQUAD find quadratically-interpolated peak in a N-D array
 v_randfiltV_RANDFILT Generate filtered gaussian noise without initial transient
 v_randiscrV_RANDISCR Generate discrete random numbers with specified probabiities [X]=(P,N,A)
 v_randvecV_RANDVEC Generate real or complex GMM/lognormal random vectors X=(N,M,C,W,MODE)
 v_rdctV_RDCT Discrete cosine transform of real data Y=(X,N,A,B)
 v_readaifV_READAIF Read a .AIF format sound file [Y,FS,WMODE,FIDX]=(FILENAME,MODE,NMAX,NSKIP)
 v_readauV_READAU Read a SUN .AU format sound file [Y,FS,H]=(FILENAME)
 v_readcnxV_READCNX Read a .CNX format sound file [Y,FS,H]=(FILENAME)
 v_readflacV_READFLAC Read a .FLAC format sound file [Y,FS]=(FILENAME,MODE)
 v_readhtkV_READHTK read an HTK parameter file [D,FP,DT,TC,T]=(FILE)
 v_readsfsV_READSFS Read a .SFS format sound file [Y,FS,HD,FFX]=(FF,TY,SUB,MODE,NMAX,NSKIP,XPATH)
 v_readsphV_READSPH Read a SPHERE/TIMIT format sound file [Y,FS,WRD,PHN,FFX]=(FILENAME,MODE,NMAX,NSKIP)
 v_readwavV_READWAV Read a .WAV format sound file [Y,FS,WMODE,FIDX]=(FILENAME,MODE,NMAX,NSKIP)
 v_rectifyhomogV_RECTIFYHOMOG Apply rectifying homographies to an image set
 v_regexfilesV_REGEXFILES recursively searches for files matching a pattern tok=(regex,root)
 v_resampleV_RESAMPLE Resample and remove end transients [y,h]=(x,p,q,n,b)
 v_rfftV_RFFT Calculate the DFT of real data Y=(X,N,D)
 v_rhartleyV_RHARTLEY Calculate the Hartley transform of real data Y=(X,N)
 v_rnsubsetV_RNSUBSET choose k distinct random integers from 1:n M=(K,N)
 v_rotationV_ROTATION Encode and decode rotation matrices
 v_rotax2qrV_ROTQR2AX converts a rotation axis and angle to the corresponding real quaternion
 v_roteu2qrROTEU2QR converts a sequence of Euler angles to a real unit quaternion
 v_roteu2roV_ROTEU2QR converts a sequence of Euler angles to a rotation matrix
 v_roteucodeV_ROTEUCODE decodes a string specifying a rotation axis sequence
 v_rotmc2qcV_ROTMC2QC converts a matrix of complex quaternion matrices to a matrix of complex quaternion vectors
 v_rotmr2qrV_ROTMR2QR converts a matrix of real quaternion matrices to quaternion vectors
 v_rotpl2roV_ROTPL2RO find matrix to rotate in the plane containing u and v r=[u,v,t]
 v_rotqc2mcV_ROTQC2MC converts a matrix of complex quaternion vectors to quaternion matrices
 v_rotqc2qrV_ROTQC2QR converts a matrix of complex quaternion row vectors into real form
 v_rotqr2axV_ROTQR2AX converts a real quaternion to the corresponding rotation axis and angle
 v_rotqr2euV_ROTQR2EQ converts a real unit quaternion into the corresponding euler angles
 v_rotqr2mrV_ROTQR2MR converts a matrix of real quaternion vectors to quaternion matrices
 v_rotqr2qcV_ROTQR2QC converts a matrix of real quaternion vectors into complex form
 v_rotqr2roROTQR2RO converts a real quaternion to a 3x3 rotation matrix
 v_rotqrmeanV_ROTQRMEAN calculates the mean rotation of a quaternion array [y,s]=[q]
 v_rotqrvecV_ROTQRVEC applies a quaternion rotation ot a vector array y=[q,x]
 v_rotro2euV_ROTRO2EU converts a 3x3 rotation matrix into the corresponding euler angles
 v_rotro2plV_ROTRO2PL find the plane and rotation angle of a rotation matrix [u,v,t]=r
 v_rotro2qrV_ROTRO2QR converts a 3x3 rotation matrix to a real quaternion
 v_rsfftV_RSFFT fft of a real symmetric spectrum X=(Y,N)
 v_sapisynthV_SAPISYNTH text-to-speech synthesize of text string or matrix [X,FS,TXT]=(T,M)
 v_schmittV_SCHMITT Pass input signal X through a v_schmitt trigger
 v_sigalignV_SIGALIGN align a clean reference with a noisy signal [d,g,rr,ss]=(s,r,maxd,m,fs)
 v_sigmaV_SIGMA Estimate glottal opening an closing instants
 v_skew3dV_SKEW3D Convert between a vector and the corresponding skew-symmetric matrix
 v_snrsegV_SNRSEG Measure segmental and global SNR [SEG,GLO]=(S,R,FS,M,TF)
 v_sone2phonV_PHON2SONE convert SONE loudness values to PHONs p=(s)
 v_soundspeedV_SOUNDSPEED gives the speed of sound, density of air and acoustic impedance as a function of temp & pressure [V,D,Z]=(T,P,M,G)
 v_specsubV_SPECSUB performs speech enhancement using spectral subtraction [SS,ZO]=(S,FSZ,P)
 v_specsubmV_SPECSUBM obsolete speech enhancement algorithm - use v_specsub instead
 v_spendredV_SPENDRED Speech Enhancement and Dereverberation by Doire
 v_spgrambwV_SPGRAMBW Draw spectrogram [T,F,B]=(s,fs,mode,bw,fmax,db,tinc,ann)
 v_sphrharmV_SPHRHARM forward and inverse spherical harmonic transform
 v_sprintcpxV_SPRINTCPX format a complex number for printing S=(Z,F)
 v_sprintsiV_SPRINTSI Print X with SI multiplier S=(X,D,W,U)
 v_ssubmmseV_SSUBMMSE performs speech enhancement using mmse estimate of spectral amplitude or log amplitude [SS,ZO]=(S,FSZ,PP)
 v_ssubmmsevV_SSUBMMSE performs speech enhancement using mmse estimate of spectral amplitude or log amplitude [SS,ZO]=(S,FSZ,P)
 v_stdspectrumV_STDSPECTRUM Generate standard acoustic/speech spectra in s- or z-domain [B,A,SI,SN]=(S,M,F,N,ZI,BS,AS)
 v_stoi2probV_STOI2PROB convert STOI to probability
 v_teagerV_TEAGER calculate v_teager energy waveform Y=(X,D,M)
 v_texthvcV_TEXTHVC - write text on graph with specified alignment and colour
 v_tilefigsV_TILEFIGS tile current figures
 v_txalignV_TXALIGN Find the best alignment of two sets of time markers [KX,KY,N,M,S]=(X,Y,MAXT)
 v_unixwhichV_UNIXWHICH Search system path for an executable program [F]=(C,E)
 v_upolyhedronV_UPOLYHEDRON calculate uniform polyhedron characteristics
 v_usasiV_USASI generates N samples of USASI noise at sample frequency FS X=(N,FS)
 v_vadsohnV_VADSOHN implements a voice activity detector [VS,ZO]=(S,FSZ,M,P)
 v_voiceboxV_VOICEBOX set global parameters for Voicebox functions Y=(FIELD,VAL)
 v_voicebox_updateV_VOICEBOX_UPDATE update v_voicebox calls by prefixing with 'v_'
 v_vonmisespdfV_VONMISESPDF Von Mises probability distribution P=(x,m,k)
 v_windinfoV_WINDINFO window information and figures of merit X=(W,FS)
 v_windowsV_WINDOWS Generate a standard windowing function (TYPE,N,MODE,P,H)
 v_winenvarV_WINENVAR get windows environment variable [D]=(N)
 v_writehtkV_WRITEHTK write data in HTK format []=(FILE,D,FP,TC)
 v_writewavV_WRITEWAV Creates .WAV format sound files FIDX=(D,FS,FILENAME,MODE,NSKIP,MASK,MAD)
 v_xticksiV_XTIXKSI labels the x-axis of a plot using SI multipliers S=(AH)
 v_xyzticksiV_XYZTIXKSI labels an axis of a plot using SI multipliers S=(AX,AH)
 v_yticksiV_YTIXKSI labels the y-axis of a plot using SI multipliers S=(AH)
 v_zerocrosV_ZEROCROS finds the zeros crossings in a signal [T,S]=(Y,M,X)
 v_zerotrimV_ZEROTRIM Remove zero trailing rows and columns Z=(X)
 v_zoomfftV_ZOOMFFT DTFT evaluated over a linear frequency range Y=(X,N,M,S,D)
 wavreadWAVREAD Legacy MATLAB function to read .WAV file [Y,FS,BITS]=(FILENAME,NMAX)
 wavwriteWAVREAD Legacy MATLAB function to write .WAV file (Y,Fs,N,FILENAME)

Subsequent directories:


Generated by m2html © 2003