181 Royalty-Free Audio Tracks for "Speech Female"

Transformation speech female to male.

Week 7 part1. 2 speech harmonic.

My a10 homework.

Sound speech new.

Analysis of sound speech-female. Wav with short-time fourier transform:- parameters used in the analysis are: - window type = hamming, window size(m) = 601, fft size (n) = 1024, hop size (h) = 151.

Synthesis output sound obtained by analysis and synthesis of sound speech-female. Wav (http://freesound. Org/people/xserra/sounds/317745/) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 2019, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 1, maximum number of harmonics = 100, minimum fundamental frequency = 80, maximum fundamental frequency = 300, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 7.

Frequency scaled output sound obtained by analysis and synthesis of sound speech-female_hpsmodel. Wav (https://www. Freesound. Org/people/anjds/sounds/377067/) with transformations model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters considered are:-ifrequency scaling factors= [0,1,1,0. 6],ii) frequency stretching factors = [0,1,1,1],iii) timbre preservation = 1, iv) time scaling factors = [0, 0 ,1 ,1].

Output sound obtained after frequency scaling and stretching of sound speech-female_hpsmodel. Wav (https://www. Freesound. Org/people/anjds/sounds/377067/) with transformations model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters considered are:- i) frequency scaling factors = [0,1. 5,1,0. 6], ii) frequency stretching factors = [0,1. 5,1,1,2,1. 5],iii) timbre preservation = 1, iv) time scaling factors = [0, 0 ,1 ,1].

Output sound obtained after frequency scaling and stretching along with time scaling of sound speech-female_hpsmodel. Wav (https://www. Freesound. Org/people/anjds/sounds/377067/) using transformations model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters considered are:- i) frequency scaling factors = [0,1. 5,1,0. 6], ii) frequency stretching factors = [0,1. 5,1,1,2,1. 5],iii) timbre preservation = 1, iv) time scaling factors = [0, 0 ,1 ,0. 6, 1. 5, 1. 2].

Original can be found here: https://freesound. Org/people/xserra/sounds/317745/i applied frequency and time transformations in order to change the intonation and add some dramatism. The transformations i used are from sms-tools (https://github. Com/mtg/sms-tools).

The end result.

Harmonic plus stochastic resynthesis of the female speech sound: http://www. Freesound. Org/people/xserra/sounds/254374/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 2001- fft size: 2048- magnitude threshold: -100- minimum duration of sinusoidal tracks: 0. 05- maximum number of harmonics: 100- minimum fundamental frequency: 150- maximum fundamental frequency: 250- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 0. 05stochastic approximation factor: 1.

Hps mode output stochastic re-synthesized.

This is a trnsformation of the original sound: http://www. Freesound. Org/people/xserra/sounds/254374/ , with the parameters:. For synthesis:window type: hammingwindow size: 801fft size: 2048minimum f0: 160maximum f0: 260number of harmonics: 80threshold: -100minimum length of harmonics:. 1stochastic decimation factor : 0. 2minimum sine duration : 0. 1. For transformation :frequency scaling factors : [0, 0. 4, 1, 0. 4] <- (make frequency lower)frequency stretching factors : [0, 1, 1, 1] <- (no change)timbrepreservation : 1 <- (no change)time scaling factors : [0, 0, 1, 0. 7] <- (faster).

Frequency scaled output sound obtained by analysis and synthesis of sound speech-female_hpsmodel. Wav (https://www. Freesound. Org/people/anjds/sounds/377067/) with transformations model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters considered are:- i) frequency scaling factors = [0,1. 5,1,0. 6], ii) frequency stretching factors = [0,1,1,1],iii) timbre preservation = 1, iv) time scaling factors = [0, 0 ,1 ,1].

This is a chinese word "kaimen", pronounced by a female.

Female voice saying "speech signal processing".

Female crowd talking.

Use hps to analyis speech-female. Wav.

Female text to speech, saying finished.

Stochastic component.

Residual output sound obtained by analysis and synthesis of sound speech-female. Wav (http://freesound. Org/people/xserra/sounds/317745/) with harmonic plus residual model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 2019, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 1, maximum number of harmonics = 100, minimum fundamental frequency = 80, maximum fundamental frequency = 300, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01.

Stochastic approximation of the residual signal obtained after subtracting the harmonics from a female speech sound: http://www. Freesound. Org/people/xserra/sounds/254374/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 2001- fft size: 2048- magnitude threshold: -100- minimum duration of sinusoidal tracks: 0. 05- maximum number of harmonics: 100- minimum fundamental frequency: 150- maximum fundamental frequency: 250- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 0. 05stochastic approximation factor: 1.

Harmonic component obtained from the analysis of a female speech sound: http://www. Freesound. Org/people/xserra/sounds/254374/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 2001- fft size: 2048- magnitude threshold: -100- minimum duration of sinusoidal tracks: 0. 05- maximum number of harmonics: 100- minimum fundamental frequency: 150- maximum fundamental frequency: 250- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 0. 05stochastic approximation factor: 1.

Residual signal obtained after subtracting the harmonics from a female speech sound: http://www. Freesound. Org/people/xserra/sounds/254374/. This was done using the harmonic plus residual model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 2001- fft size: 2048- magnitude threshold: -100- minimum duration of sinusoidal tracks: 0. 05- maximum number of harmonics: 100- minimum fundamental frequency: 150- maximum fundamental frequency: 250- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 0. 02.

Hps mode output harmonic part.

Hps mode output stochastic part.

Stochastic synthesis output sound obtained by analysis and synthesis of sound speech-female. Wav (http://freesound. Org/people/xserra/sounds/317745/) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 2019, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 1, maximum number of harmonics = 100, minimum fundamental frequency = 80, maximum fundamental frequency = 300, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 7.

Harmonic sinusoidal output sound obtained by analysis and synthesis of sound speech-female. Wav (http://freesound. Org/people/xserra/sounds/317745/) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 2019, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 1, maximum number of harmonics = 100, minimum fundamental frequency = 80, maximum fundamental frequency = 300, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 7.

A female voice saying testing.

Modification of the sound speech-female. Wav from freesound using harmonic plus stochastic model of sms tools. The original sound has been modified so that it becomes a conversation between two characters.

Woman speaking french language.

Female voice saying "hi jim".

Second sound of week 8 part1.

Yes.

Okay.

Woman speaker reading from the book "open source democracy", by douglas rushkoff.

Goodbye - australian female voice. Recorded with zoom h4n pro.

Synthesized with the sms-tools. Window: blackmanm: 1001n: 1024t: -80minsinedur: 0. 1nh: 50minf0: 140maxf0: 230f0et: 5harmdevslope: 0. 01stocf: 0. 4freq scaling factors: [0, 1, 0. 5,0. 4, 0. 7,0. 4,1, 3. 0]freq stretching factors: [0, 1, 1, 1] (no stretching)time scaling factors: [0, 0, 0. 5, 0. 3, 0. 7, 0. 6,1,2. 0].

Good morning - australian female voice. Recorded with zoom h4n pro.

Female voice saying "and so it begins" with 6 variations of emotion.

This sound is an aspiration (female voice). It express surprise. Este sonido es una aspiración (voz femenina). Expresa sorpresa.

How to win an argument.

Merry christmas - australian female voice. Recorded with zoom h4n pro.

Untitled_master_11. Wav.

Female voice saying "oh no you don't" with 6 variations of emotion.

2-step-sequenced female vocal samples, suitable for 4/4 music. Reason 9.

2-step-sequenced female vocal samples, suitable for 4/4 music. Reason 9.

My daughter singing.

Funny!-enjoy!.