Up tókànItọsọna atẹle
Neural Audio Effects and Guitar Amp Modeling
Ohùn AI
Audio AI Itọsọna
Awoṣe Prosody
Prosody modeling concerns features such as pitch, duration, energy and emphasis that shape how speech is delivered.
Gbọ si itọsọna yiiAI-ṣe afihan · ~2 min
Lori iwe yi2 min ka
Akopọ
Text-to-speech systems can model these variables to produce different valid spoken realizations of the same text.
Jin Dive
Prosody includes pitch movement, duration, energy and stress. FastSpeech 2 models pitch, energy and duration as conditional inputs to help address the one-to-many mapping from text to speech. Research on prosody transfer shows a synthesizer can condition its output on a reference acoustic representation to reproduce aspects of the reference’s prosody, including when the reference and output speakers differ. A corpus study of 410 naturally occurring American-English yes/no questions found varied intonation contours; the most frequent nuclear contour in that corpus was a low-rise. These findings are scoped to their task, speakers and language variety.
Real-World imuse
Predicting phoneme duration and pitch in a text-to-speech system.
Using reference audio to condition a synthesized utterance on a target prosodic pattern.
Testing how emphasis changes focus interpretation in a spoken sentence.
Measuring question contours on a defined speech corpus rather than assuming a universal intonation rule.
Ojo iwaju ti Prosody Modeling
Evaluate synthesized prosody on target speakers, languages and discourse contexts. A contour that is common in one corpus or dialect need not be universal, and reference transfer should be assessed for both the intended delivery and speaker identity.
Fifi o sinu iwa
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Ṣọra fun
- ilokulo ohun ati awọn ewu afarawe ṣe pọ si nigbati igbanilaaye ba sonu.
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Tesiwaju Ṣiṣawari
Ìwé ìròyìn ọfẹ
Gba ìkànìyàn AI ojoojúmọ́
Ìtàn AI mẹta tó jẹ́rìí ní gbogbo owurọ́ ọjọ́ iṣẹ́, kọ́wé ní Gẹ̀ẹ́sì tó rọrùn. Ọfẹ́ fún gbogbo àkókò, kò sí ìpolówó.
Ìmeèlì kan ní gbogbo ọjọ́ iṣẹ́. Yọkúrò ní ìkànìyàn ní ìkànìyàn kan. A kò ta tàbí pín àdírẹ́sì rẹ.
Ṣe idanwo fun ara rẹ
Take the Prosody Modeling quiz
Ìdáhùn lẹ́sẹ̀kẹsẹ̀ lórí gbogbo ìdáhùn, àti iwe-ẹ̀rí tó lè pin pẹ̀lú ID tó lè jẹ́rìí lẹ́yìn tí o bá kọ́ ẹ̀kọ́.
Ṣe àtìlẹ́yìn ẹ̀kọ́ AI ọfẹ́. AI Understanding jẹ́ àjọ àìní èrè 501(c)(3) — kò sí ìpolówó, kò sí àkúnya owó, ní gbogbo àkókò. Ṣe ẹbun kan
Awọn ibeere ti a beere nigbagbogbo
Kí ni Prosody Modeling?
Prosody modeling concerns features such as pitch, duration, energy and emphasis that shape how speech is delivered. Text-to-speech systems can model these variables to produce different valid spoken realizations of the same text.
Eyi ti ṣeto ti awọn ẹya ara ẹrọ ti o dara ju apejuwe prosody ninu ọrọ?
Prosody n tọka si awọn agbara ti o ga julọ ti ọrọ, intonation (pitch), rhythm ati iye akoko, wahala, ati agbara (ipariwo), ti o gun lori awọn ọrọ naa.
Ni apẹrẹ prosody, kini igbohunsafẹfẹ ipilẹ (F0) ṣe aṣoju?
F0 jẹ igbohunsafẹfẹ ipilẹ ti ohun, iwọn gbigbọn ti awọn agbo ohun, eyiti a gbọ bi ipolowo tabi orin aladun ti ohun naa.
Bawo ni FastSpeech 2 ṣe ilọsiwaju iṣakoso prosody lori awọn awoṣe iṣaaju?
FastSpeech 2 ṣe afihan ohun ti nmu badọgba iyatọ ti o sọ asọtẹlẹ iye akoko, ipolowo, ati agbara ni gbangba, fifun ni taara diẹ sii ati iṣakoso iduroṣinṣin lori prosody ju akiyesi mimọ lasan.
Kini idi ti asọtẹlẹ prosody lati ọrọ nikan ni a ka si iṣoro ọkan-si-ọpọlọpọ?
Awọn ọrọ kanna ni a le fi jiṣẹ awọn ọna ainiye ti o da lori ero ati ẹdun, nitorinaa awọn awoṣe gbọdọ yan laarin ọpọlọpọ awọn kika prosodic ti o wulo dipo ṣiṣe iṣiro idahun kan.
In a corpus of 410 naturally occurring American-English yes/no questions, which nuclear contour was most frequent?
The cited corpus study reports that the low-rise nuclear contour was the most frequent pattern in its sample of 410 naturally occurring American-English yes/no questions; this is not a universal rule.
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