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- #1 window function
- 3.1.5 Windowing
| 3.1.5 Windowing
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- A/D conversion
- 3.1.1 Sampling
- accent
- 6.2 Amplitude Manipulations
- access functions
- Encapsulation
- acoustic tube
- The Acoustic Tube Model
- Additive
- 3.5 The Software-Environment at
- additive synthesis
- 3.2 Additive Analysis and
- aliasing noise
- 3.1.1 Sampling
- all-polefilter
- 4.2 LPC Spectral Envelope
- Amplification
- 6.2 Amplitude Manipulations
- amplitudemanipulation
- 6.2 Amplitude Manipulations
- analysis
- 8.1 Some Words about
- analysisfilter
- 4.2 LPC Spectral Envelope
- angular frequency
- 3.1.3 Fourier Transform
- anti-aliasing filter
- 3.1.1 Sampling
- anti-resonances
- The Acoustic Tube Model
- architecture of a software system
- 8.2 The Architecture Notation
- articulation
- 3.4 The Source-Filter Model
- attenuation
- 6.2 Amplitude Manipulations
- autocorrelation method
- 4.2 LPC Spectral Envelope
- autocovariance method
- 4.2 LPC Spectral Envelope
- Bartlett window function
- 3.1.5 Windowing
- bin
- 5.3 Spectral Representation
- Blackman window function
- 3.1.5 Windowing
- Booch Method
- 8.2 The Architecture Notation
- border points
- 4.5.4 Adding Points to
- boundary ofthe object-oriented paradigm
- 8.4.2 Going from Analysis
- break frequency
- 4.5.3 Logarithmic Frequency Scaling
- break point function
- 5.4 Geometric Representation
- break points
- 5.4 Geometric Representation
- cepstrum
- 4.3 Cepstrum Spectral Envelope
- Chant
- 3.5 The Software-Environment at
- Cholesky algorithm
- 4.4 Discrete Cepstrum Spectral
- chunks
- 8.5 The Spectral Envelope
- cloud
- 4.5.2 Stochastic Smoothing (The
- CNMAT
- 3.5 The Software-Environment at
- compression of spectral envelopes
- 6.3 Other Manipulations
- convolution
- 3.1.4 Convolution, Filtering and
- cross synthesis
- 7.1 Additive Synthesis
| 10.3 Possibilities of Artistic
- D/A conversion
- 3.1.1 Sampling
- decibel
- 3.1.2 Power and Energy
- deconvolution
- The Acoustic Tube Model
- design
- 8.1 Some Words about
- dilatation ofspectral envelopes
- 6.3 Other Manipulations
- diphone
- 3.5 The Software-Environment at
- Diphones
- 3.5 The Software-Environment at
- dirac functions
- 3.1.3 Fourier Transform
- discrete cepstrum
- 4.4 Discrete Cepstrum Spectral
- discrete Fouriertransform
- 3.1.3 Fourier Transform
- divide andconquer
- 3.1.3 Fourier Transform
- documentation
- 8.1 Some Words about
- Durbin-Levinson recursion
- 4.2 LPC Spectral Envelope
- ease of manipulation
- 5.1 Requirements
- Encapsulation
- no title
| Encapsulation
- energy
- 3.1.2 Power and Energy
- Envelope fit
- 3.3 Spectral Envelopes
- Exactness
- 4.1 Requirements
- extended waterfall model
- 8.1 Some Words about
- Farinelli
- 4.6 Evaluation of Discrete
- fast Fourier transform
- 3.1.3 Fourier Transform
- Faster Than Sound
- 3.5 The Software-Environment at
- File names
- 11.1.2.1 File names
- filling points
- 4.5.4 Adding Points to
- filtercoefficients
- 5.2 Filter Coefficients
- filtering
- 3.1.4 Convolution, Filtering and
- flexibility of manipulation
- 5.1 Requirements
- FOF
- 5.5 Formants
- formant tracks
- 5.5 Formants
- Formant interpolation
- 6.1.2 Shifting Formants
- formant region
- 5.5 Formants
- formant representation
- 5.5 Formants
- formant shift
- 6.1.2 Shifting Formants
- Formant-wave functions
- 5.5 Formants
- formantdetection
- 6.1.2 Shifting Formants
- formants
- The Acoustic Tube Model
- format file
- 3.5 The Software-Environment at
- Forme d'onde formantique
- 5.5 Formants
- Fourier transform
- 3.1.3 Fourier Transform
- frames
- 3.1.5 Windowing
- frequency bin
- 5.3 Spectral Representation
- frequency manipulations
- 6.3 Other Manipulations
- frequency selective amplification or attenuation
- 6.2 Amplitude Manipulations
- frequency shift
- 6.3 Other Manipulations
- frequency spectrum
- 3.1.3 Fourier Transform
- FTS
- 3.5 The Software-Environment at
- fundamental frequency
- 3.2 Additive Analysis and
- Fuzzy formants
- definition
- 5.5 Formants
- shifting
- 6.1.3 Shifting Fuzzy Formants
- Gauss window function
- 3.1.5 Windowing
- generalization relation
- Inheritance
- granulation
- 9.5 Conversion between Spectral
- Hamming window function
- 3.1.5 Windowing
- Hanning window function
- 3.1.5 Windowing
- harmonic partials
- 3.2 Additive Analysis and
- harmonics
- 3.2 Additive Analysis and
- Hertz
- 3.1.3 Fourier Transform
- Hidden Markov Model
- 3.5 The Software-Environment at
- High Resolution Matching Pursuit
- 5.6 High Resolution Matching
- HMM
- 3.5 The Software-Environment at
- homomorphic deconvolution
- 4.3 Cepstrum Spectral Envelope
- horizontalinterpolation of formants
- 6.1.3 Shifting Fuzzy Formants
- implementation
- 8.1 Some Words about
- impulse response
- 3.1.4 Convolution, Filtering and
- inferior triangular matrix
- 4.4 Discrete Cepstrum Spectral
- Inheritance
- no title
| Inheritance
- initiation
- 3.4 The Source-Filter Model
- interpolation betweenenvelopes
- 6.1.1 Interpolation between Spectral
- interpolation factor
- 6.1.1 Interpolation between Spectral
- inverse discreteFourier transform
- 3.1.3 Fourier Transform
- inverse fast Fourier transform
- 3.1.3 Fourier Transform
- IRCAM
- 2.2 Outline of the
- IRCAM Signal Processing Workstation
- 3.5 The Software-Environment at
- ISPW
- 3.5 The Software-Environment at
- j-MAX
- 3.5 The Software-Environment at
- jitter
- 3.1.1 Sampling
- LAR
- 4.2 LPC Spectral Envelope
- lattice filter
- 7.2 Filtering
- line spectral pairs
- 4.2 LPC Spectral Envelope
- linear interpolation
- 4.6 Evaluation of Discrete
| 6.1 Interpolation
- linear predictive coding
- 4.2 LPC Spectral Envelope
- linear shift-invariantsystems
- 3.1.4 Convolution, Filtering and
- linearity
- 3.1.4 Convolution, Filtering and
- lineartime-invariant systems
- 3.1.4 Convolution, Filtering and
- load set
- 11.1.2.2 Loading files
- locality
- 5.1 Requirements
- log area ratios
- 4.2 LPC Spectral Envelope
- logarithmic frequencyscaling
- 4.5.3 Logarithmic Frequency Scaling
- London
- 9.5 Conversion between Spectral
- LPC analysis
- 4.2 LPC Spectral Envelope
- LPC-coefficients
- 4.2 LPC Spectral Envelope
- LTIsystems
- 3.1.4 Convolution, Filtering and
- magnitude spectrum
- 3.1.3 Fourier Transform
- maintenance
- 8.1 Some Words about
- Manipulation
- 6. Manipulation of Spectral
- Manual input
- 5.1 Requirements
- MAX
- 3.5 The Software-Environment at
- mel frequency scale
- 4.5.3 Logarithmic Frequency Scaling
- memberfunction
- Polymorphism
- method
- Polymorphism
- mickey mouse effect
- 3.3.1 Spectral Envelope Correction
- modulator
- 7. Sound Synthesis with
- Name-Value Tables
- 8.5 The Spectral Envelope
- nasal zeros
- The Acoustic Tube Model
- nontechnical areas
- 8.1 Some Words about
- Nyquist
- 3.1.1 Sampling
- Object Modeling Technique
- 8.2 The Architecture Notation
- object-oriented programming
- 8.4.2 Going from Analysis
- object-orientedparadigm
- 8.4.2 Going from Analysis
- OMT
- 8.2 The Architecture Notation
- order
- Cepstrum
- 4.3 Cepstrum Spectral Envelope
- Discrete cepstrum
- 4.4 Discrete Cepstrum Spectral
- LPC
- 4.2 LPC Spectral Envelope
- orthogonality
- 5.1 Requirements
- parameter file
- 3.5 The Software-Environment at
- partial trajectories
- 3.5 The Software-Environment at
- phase spectrum
- 3.1.3 Fourier Transform
- phonation
- 3.4 The Source-Filter Model
- phoneme
- 3.3 Spectral Envelopes
- phonetics
- 3.4 The Source-Filter Model
- phonology
- 3.4 The Source-Filter Model
- pitch
- 3.2 Additive Analysis and
- Pm
- 3.5 The Software-Environment at
- poles ofa filter
- 4.2 LPC Spectral Envelope
- Polymorphism
- no title
| Polymorphism
- power
- 3.1.2 Power and Energy
- Precise formants
- 5.5 Formants
- Preciseness
- 5.1 Requirements
- predictor-coefficients
- 4.2 LPC Spectral Envelope
- process models
- 8.1 Some Words about
- programming in the large
- 8.1 Some Words about
- programming in the small
- 8.1 Some Words about
- project management
- 8.1 Some Words about
- prosody
- 6.2 Amplitude Manipulations
| 9.2 Synthesis of the
- psychoacoustics
- 3.1.2 Power and Energy
- pulmonal
- 3.4 The Source-Filter Model
- qualityassurance
- 8.1 Some Words about
- quantization
- 3.1.1 Sampling
- quantization noise
- 3.1.1 Sampling
- quefrency
- 4.3 Cepstrum Spectral Envelope
- re-use of software
- 8.3 General Considerations for
| 8.3 General Considerations for
- Rectangle window function
- 3.1.5 Windowing
- reflection coefficients
- 4.2 LPC Spectral Envelope
- Regularity
- Estimation
- 4.1 Requirements
- Spectral envelope
- 3.3 Spectral Envelopes
- regularization
- 4.5.1 Regularization
- regularization term
- 4.5.1 Regularization
- representation
- 5. Representation of Spectral
- requirements
- Estimation
- 4.1 Requirements
- Representation
- 5.1 Requirements
- requirements engineering
- 8.1 Some Words about
- resonances
- The Acoustic Tube Model
- Robustness
- 4.1 Requirements
- roots of the analysis filter
- 4.2 LPC Spectral Envelope
- sample
- 3.1.1 Sampling
- sampled spectral envelope
- 5.3 Spectral Representation
- sampling
- 3.1.1 Sampling
- sampling period
- 3.1.1 Sampling
- sampling rate
- 3.1.1 Sampling
- sampling theorem
- 3.1.1 Sampling
- SDIF
- 3.5 The Software-Environment at
| 8.5 The Spectral Envelope
- SDIF-library
- 3.5 The Software-Environment at
- shift-invariant systems
- 3.1.4 Convolution, Filtering and
- skewing
- 6.3 Other Manipulations
- smoothness
- 3.3 Spectral Envelopes
- software development phases
- 8.1 Some Words about
- software development process
- 8.1 Some Words about
- software engineering
- 8.1 Some Words about
- softwarelifecycle
- 8.1 Some Words about
- Sound Data Interchange Format
- 3.5 The Software-Environment at
| 8.5 The Spectral Envelope
- Space
- 5.1 Requirements
- specialization relation
- Inheritance
- spectral envelope
- 3.3 Spectral Envelopes
- Definition
- 3.3 Spectral Envelopes
- spectral representation
- 5.3 Spectral Representation
- spectral tilt
- 6.2 Amplitude Manipulations
- spectrogram
- 9.5 Conversion between Spectral
- Speed of synthesis
- 5.1 Requirements
- Splines
- 5.4 Geometric Representation
- stability
- 5.1 Requirements
- Steadyness
- Estimation
- 4.1 Requirements
- Spectral envelope
- 3.3 Spectral Envelopes
- STtools
- 3.5 The Software-Environment at
- subtype relation
- Inheritance
- superior triangular matrix
- 4.4 Discrete Cepstrum Spectral
- synthesis
- 7. Sound Synthesis with
- synthesis filter
- 4.2 LPC Spectral Envelope
- synthesis by rule
- 3.5 The Software-Environment at
- testing
- 8.1 Some Words about
- time-frame
- 3.1.5 Windowing
- time-invariance
- 3.1.4 Convolution, Filtering and
- time-invariant systems
- 3.1.4 Convolution, Filtering and
- tracks
- 3.5 The Software-Environment at
- transfer function
- 3.1.4 Convolution, Filtering and
- transposition of spectral envelopes
- 6.3 Other Manipulations
- type-polymorphism
- Polymorphism
- UDI
- 3.5 The Software-Environment at
- UML
- 8.2 The Architecture Notation
- uniqueness
- 5.1 Requirements
- unit impulse
- 3.1.4 Convolution, Filtering and
- Universal DSP Interface
- 3.5 The Software-Environment at
- Universal Modeling Language
- 8.2 The Architecture Notation
- Unvoiced speech
- 3.4 The Source-Filter Model
- version control
- 8.1 Some Words about
- Vibrato tracing of spectral envelopes
- 3.3.2 Vibrato Tracing of
- visualization
- 9.5 Conversion between Spectral
- Viterbi algorithm
- 3.5 The Software-Environment at
- Voiced speech
- 3.4 The Source-Filter Model
- voicing
- 3.4 The Source-Filter Model
- waterfall model
- 8.1 Some Words about
- wavelets
- 5.7 Wavelets
| 10.2.2 Wavelets for Representation
- weighted sum
- 6.1.1 Interpolation between Spectral
- weighting
- 4.5.2 Stochastic Smoothing (The
- whitening
- 4.2 LPC Spectral Envelope
- window function
- 3.1.5 Windowing
- windows
- 3.1.5 Windowing
- word length
- 3.1.1 Sampling
- working area model
- 8.1 Some Words about
- XGraph
- 3.5 The Software-Environment at
- xspect
- 3.5 The Software-Environment at
- XTraj
- 3.5 The Software-Environment at
- Z-transform
- 3.1.3 Fourier Transform
Diemo Schwarz
Next: About this document ...
Up: Spectral Envelopes in Sound
Previous: Bibliography
Diemo Schwarz
1998-09-07