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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 โฆ
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Hello,
First, I apologize if this is not a proper channel to ask about your paper "MELLOTRON: MULTISPEAKER EXPRESSIVE VOICE SYNTHESIS BY CONDITIONING ON RHYTHM, PITCH AND GLOBAL STYLE TOKENS Rafael โฆ
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# ๐ New model addition
## Model description
**What type of model isย Fast Pitch 1.1?**
It is a Mel spectrogram generator (part of a speech to text model engine) that mainly comprises of two Fโฆ
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Hi !
Thanks for this great implementation !
I'm a speech scientist, and I'm not an expert in neural networks. I'm working on expressive speech synthesis, and I'm currently wondering about the poโฆ
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Hi,
following DeepMind's paper "Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron", they claim to use GMM attention as it generalize better for longer utterances. I โฆ
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Hello everyone,
I am experimenting with training WaveGlow on a dataset of singing voice. The loss is optimizing without noticeable issue, although it seems to hardly get lower than around -4. (for โฆ
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Implement an opcode or opcodes for vocal singing synthesis in Csound, inspired by Vocaloid, Sinsy, and such.
The opcode should take marked up text and some form of vocal model, and synthesize a musicโฆ
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# NVIDIA NeMo (ByT5 G2P and G2P-Conformer):
> NVIDIA NeMo provides grapheme-to-phoneme models for various languages, including **German**.
> The ByT5 G2P model is based on a neural network and canโฆ
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Thanks for your great work, but I found that if I set the hyperparameter `use_gst=False` and run, it seemed different from my understanding of Tacotron1. The tacotron.py code is part of here.
```pythโฆ
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์๋
ํ์ธ์~ DLC 3๊ธฐ ์ฅ์ค๊ฒฝ์ด๋ผ๊ณ ํฉ๋๋ค. ์์
์๊ฐ์ ๋๋ฌด ์ฌ๋ฏธ์๊ฒ ์ ๋ค์์ด์~!
์ด์ 2๋ฒ ๋ฐ์ ์ ๋จ์๋ค๋, ๋ฒ์จ ์์ฝ๋ค์ ใ
ใ
์ง๋ฌธ 2๊ฐ๊ฐ ์์ด์ ์ฌ๊ธฐ์ ์ฌ๋ฆฝ๋๋ค~
1. sound๋ฅผ ๋ฅ๋ฌ๋ ๋ชจ๋ธ์ ๋ฃ์ ๋ [channels, embedding_dim]๋ก ๋งตํํด์ ๋ฃ์๋๋ฐ sound๋ ์ด๋ฐ์์ผ๋ก ๋ฒกํฐํํ๋๊ฒ ์ผ๋ฐ์ ์ธ๊ฐ์? ์์ฐ์ด ๊ฐ์ ๊ฒฝโฆ