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## 論文タイトル(原文まま)
PERIOD VITS: VARIATIONAL INFERENCE WITH EXPLICIT PITCH MODELING FOR END-TO-END EMOTIONAL SPEECH SYNTHESIS
## 一言でいうと
感情音声合成において、ピッチの安定性を向上させるために周期性ジェネレータを導入したエンドツーエンドのTTSモデル
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# Task Name
Emoji-Grounded Speech Emotion Recognition
## Task Objective
The primary goal of the Emoji-Grounded Speech Emotion Recognition (EG-SER) task is to develop a system that can accurat…
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The Emotional Voices Database: Towards Controlling the Emotional Expressiveness in Voice Generation Systems
This dataset is built for the purpose of emotional speech synthesis. The transcript were …
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It would be amazing if emotion markers can be supported (or if they already are, documentation on how to use them), for example providing indicators like ``, ``, etc. or use of emoji's for the same.
zclch updated
5 months ago
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Speaker - Maria_Kasper
Text - "Emoti Voice is a powerful and modern open-source text-to-speech engine. Emoti Voice speaks both English and Chinese, and with over two thousand different voices. The mo…
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# Task Name
Audio Sentiment Analysis
## Task Objective
Sentiment Analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or …
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Hey,
I want to work on my university Project. I really find your Contribution useful. I wanted to learn and practice this i request you to please give me raw data. You can email me at shreyanshbhalo…
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I'm trying to retrain your InterSubnet. I have some questions about training datasets.
1. I saw you used interspeech 2020 datasets in your code but the subset of the interspeech 2021 datasets in you…
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Hello,
400 Hz is fine for read speech, but not suitable for expressive / emotional TTS applications. For example,
[0001_001491](https://github.com/espnet/espnet/files/11870982/0001_001491.txt) (p…
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I've tried normal speech dataset and generated very natual voice.
But how about training with emotional dataset? any one have a try?