809 Royalty-Free Audio Tracks for "Speech"

Text-to-speech sound | for a school project.

Ambient sound air conditioning, mumbled speech.

Speech of a siberian trains's passengers.

Use hps to analyis speech-female. Wav.

Watson's text to speech engine saying baba buoy.

Taken from jfk's spacerace speech and pitch shifted and stretched and added some delay and stuff :).

16bit; 44 khz; samples were created in steem engine stspeech.

Speech shaped noise downsampled randomized ssn version from harvard corpus.

Synthesized speech with tacotron2, using pau model trained in catotron project.

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.

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.

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.

This was recorded with behringer b1 mic.

I use a screenreader, nvda. I decided to set it to the eti eloquence speech synthesizer and put the voice on the french voice. I then set the inflection to 50 and typed the letters "r" and "h" over and over to make it sound funny when it tries to read it. The first part is the normal voice, the second part i applied ring modulation with lots of lfo effect.

Stochastic component.

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.

Short snippet of political rally speech of sasa jankovic in belgrade. Includes crowd blowing whistles, and stage drums.

An exert of President Barack Obamas State of the Union speech. January 28th, 2010. Very moving.

I got this from the free site: http://www. Text2speech. Org/.

Banging a glass to announce a speech at a special occasion.

Selling aguardiente in the zone of clubs in the city with dancers.

Output waveform from the assessed lab for speech processing (lasc11065). The wave was created using the festival speech synthesis system version 1. 96 beta (july 2004), with one of their own available voices (male, scottish english).

A speech in italian, in bologna, durring cinema retrovato film festival, before an orchestra played hitchcock music. Recorded with a tascam dr-40, and cut into a clip with reaper.

Japanese conversation.

Say "strawberry".

/ai/ diphthong.

Clean speech male.

Voz robot.

Voz robot.

Running water fountain, indiscernible speech. Button press, running water at medium pace, quiet speech in background. High pitched creak, tinkling water drops landing on wet surface, lower pitch speech of large group throughout. Recorded on zoomh2, interior school hallway.

This is for a class? a speech distorted through many filters. Edited in adobe audition and given to us by our teacher initially.

Me saying: "welcome".

Atmosphere japanese.

Spoken phrase "greenfields".

Saying ''tuvalu''.

Processed german, talking about bandits.

Work in progress speech synthesis speech, all drawn in photosounder. I've drawn the basic vocalisation by drawing horizontal lines in the 100 hz range using the white spray with the harmonics modifier, and modulated that using the dark spray to create the formants. I also added a couple of fricatives with the white spray, but it's incomplete.

Small medieval battle speech, as per http://www. Freesound. Org/forum/sample-requests/26229/.

Working on a project to take speech files and automatically edit them to sound like ghosts.

Lemon vocal.

A female voice saying testing.

Male voice saying "moustache".

Tornado warining speech!.

Many people talking.

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.

Male speech synthesizer announcing train arrival on terminal "a". Dry recording with no effects.