Speech Synthesis Tasks We Had to Complete: Voice Conversion and Text-to-Speech
#speechsynthesis #texttospeech #voiceconversion #speechsynthesizer #heirarchicalsynthesizer #yapptalgorithm #speechsr #koreauniversity
https://hackernoon.com/speech-synthesis-tasks-we-had-to-complete-voice-conversion-and-text-to-speech
#speechsynthesis #texttospeech #voiceconversion #speechsynthesizer #heirarchicalsynthesizer #yapptalgorithm #speechsr #koreauniversity
https://hackernoon.com/speech-synthesis-tasks-we-had-to-complete-voice-conversion-and-text-to-speech
Hackernoon
Speech Synthesis Tasks We Had to Complete: Voice Conversion and Text-to-Speech
For voice conversion, we first extract the semantic representation by MMS from the audio at 16 kHz, and F0 using the YAPPT algorithm.
Zero-shot Voice Conversion: Comparing HierSpeech++ to Other Basemodels
#texttospeech #hierspeech #zeroshotvoiceconversion #diffusionmodels #crosslingualvoicestyle #koreauniversity #libritts #yourtts
https://hackernoon.com/zero-shot-voice-conversion-comparing-hierspeech-to-other-basemodels
#texttospeech #hierspeech #zeroshotvoiceconversion #diffusionmodels #crosslingualvoicestyle #koreauniversity #libritts #yourtts
https://hackernoon.com/zero-shot-voice-conversion-comparing-hierspeech-to-other-basemodels
Hackernoon
Zero-shot Voice Conversion: Comparing HierSpeech++ to Other Basemodels
For a fair comparison, we trained all model with the same dataset (LT460, train-clean-460 subsets of LibriTTS) without YourTTS.
The 7 Objective Metrics We Conducted for the Reconstruction and Resynthesis Tasks
#speechsynthesizer #texttospeech #resynthesis #syntheticspeech #voxceleb2 #mospredictionmodel #speakerencoder #koreauniversity
https://hackernoon.com/the-7-objective-metrics-we-conducted-for-the-reconstruction-and-resynthesis-tasks
#speechsynthesizer #texttospeech #resynthesis #syntheticspeech #voxceleb2 #mospredictionmodel #speakerencoder #koreauniversity
https://hackernoon.com/the-7-objective-metrics-we-conducted-for-the-reconstruction-and-resynthesis-tasks
Hackernoon
The 7 Objective Metrics We Conducted for the Reconstruction and Resynthesis Tasks
For VC, we used two subjective metrics: naturalness mean opinion score (nMOS) and voice similarity MOS (sMOS) with a CI of 95%
How We Used the LibriTTS Dataset to Train the Hierarchical Speech Synthesizer
#speechsynthesizer #aihub #multispeakerspeechsynthesis #vctkdataset #hierspeech #speechsuperresolution #koreauniversity #libritts
https://hackernoon.com/how-we-used-the-libritts-dataset-to-train-the-hierarchical-speech-synthesizer
#speechsynthesizer #aihub #multispeakerspeechsynthesis #vctkdataset #hierspeech #speechsuperresolution #koreauniversity #libritts
https://hackernoon.com/how-we-used-the-libritts-dataset-to-train-the-hierarchical-speech-synthesizer
Hackernoon
How We Used the LibriTTS Dataset to Train the Hierarchical Speech Synthesizer
We utilized LibriTTS dataset [90] to train the hierarchical speech synthesizer.
HierSpeech++: All the Amazing Things It Could Do
#texttospeech #hierspeech #zeroshotspeechsynthesis #semanticmodeling #ssr #libritts #multispeakerspeechsynthesis #koreauniversity
https://hackernoon.com/hierspeech-all-the-amazing-things-it-could-do
#texttospeech #hierspeech #zeroshotspeechsynthesis #semanticmodeling #ssr #libritts #multispeakerspeechsynthesis #koreauniversity
https://hackernoon.com/hierspeech-all-the-amazing-things-it-could-do
Hackernoon
HierSpeech++: All the Amazing Things It Could Do
In this work, we propose HierSpeech++, which achieves a human-level high-quality zero-shot speech synthesis performance.
The Limitations of HierSpeech++ and a Quick Fix
#texttospeech #hierspeech #denoiser #zeroshotspeechsynthesis #encoder #melspectrogram #syntheticspeech #koreauniversity
https://hackernoon.com/the-limitations-of-hierspeech-and-a-quick-fix
#texttospeech #hierspeech #denoiser #zeroshotspeechsynthesis #encoder #melspectrogram #syntheticspeech #koreauniversity
https://hackernoon.com/the-limitations-of-hierspeech-and-a-quick-fix
Hackernoon
The Limitations of HierSpeech++ and a Quick Fix
Although our model improves the zero-shot speech synthesis performance significantly, our model also synthesizes the noisy environmental information.
HierSpeech++: How Does It Compare to Vall-E, Natural Speech 2, and StyleTTS2?
#texttospeech #valle #hierspeech #naturalspeech2 #styletts2 #tts #koreauniversity #utmos
https://hackernoon.com/hierspeech-how-does-it-compare-to-vall-e-natural-speech-2-and-styletts2
#texttospeech #valle #hierspeech #naturalspeech2 #styletts2 #tts #koreauniversity #utmos
https://hackernoon.com/hierspeech-how-does-it-compare-to-vall-e-natural-speech-2-and-styletts2
Hackernoon
HierSpeech++: How Does It Compare to Vall-E, Natural Speech 2, and StyleTTS2?
We compared the zero-shot TTS performance of our model with Vall-E, NaturalSpeech 2, and StyleTTS 2.
Zero-shot Text-to-Speech With Prompts of 1s, 3s 5s, and 10s
#texttospeech #zeroshottts #dnareplication #libritts #koreauniversity #hierspeech #ssr #speechsynthesis
https://hackernoon.com/zero-shot-text-to-speech-with-prompts-of-1s-3s-5s-and-10s
#texttospeech #zeroshottts #dnareplication #libritts #koreauniversity #hierspeech #ssr #speechsynthesis
https://hackernoon.com/zero-shot-text-to-speech-with-prompts-of-1s-3s-5s-and-10s
Hackernoon
Zero-shot Text-to-Speech With Prompts of 1s, 3s 5s, and 10s
We compare the performance of zero-shot TTS according to different prompt lengths of 1s, 3s 5s, and 10s.