Deep Voice 3

Deep Voice 3, developed by Baidu, represents a significant leap forward in text-to-speech (TTS) technology, employing a fully-convolutional neural network architecture that focuses on scaling speech synthesis with convolutional sequence learning. This system demonstrates an exceptional balance of naturalness in speech synthesis, matching the quality of state-of-the-art neural TTS systems, while achieving up to ten times faster training speeds. Deep Voice 3's design allows for the handling of large datasets, training on over eight hundred hours of audio from more than two thousand speakers, making it highly versatile and scalable across different languages and voices (source).

Key features of Deep Voice 3 include its innovative use of residual convolutional layers to encode text into key and value vectors for an attention-based decoder. This decoder then predicts the mel-scale log magnitude spectrograms, corresponding to the output audio, with the aid of a converter network that predicts vocoder parameters for waveform synthesis. The system's architecture emphasizes the importance of text preprocessing, including normalization and the use of special characters to indicate pauses, which significantly improves speech quality by reducing mispronunciations and enhancing the natural flow of speech (source).

Furthermore, Deep Voice 3 distinguishes itself with its approach to handling multi-speaker scenarios through trainable speaker embeddings, and the flexibility to train models on either phoneme-only, character-only, or mixed character-and-phoneme inputs. This adaptability allows for improved pronunciation accuracy and the ability to correct mispronunciations using a phoneme dictionary, catering to the nuanced demands of real-world applications (source).

For more detailed insights into Deep Voice 3's architecture, including its encoder, decoder, and converter components, and its implications for the future of text-to-speech technology, you can refer to the comprehensive study available on arXiv.

Pricing:

Freemium

Categories:

Text to Speech (TTS)

KEY FEATURES

Deep Voice 3: Introduction of a novel neural network architecture for advanced speech synthesis.
Cutting-Edge Research Areas: Involvement in diverse computing fields from Machine Learning to Quantum Computing.
Innovative Projects: Development of projects that revolutionize human-technology interactions.
Global Impact: Collaboration and inclusion of global voices to enhance the realism of synthetic speech.
Rapid Progress: Significant improvements and updates in the span of months, demonstrating swift advancements.

FAQ

What is Deep Voice 3?

Deep Voice 3 is a speech synthesis system developed by Baidu Research, featuring a novel fully-convolutional sequence-to-sequence model that converts text into speech by imitating human voices.
What research areas does Baidu Research cover?

Baidu Research focuses on various fields including Data Science, Machine Learning, Robotics, Computer Vision, and Quantum Computing among others.
How does Deep Voice 3 compare to previous versions?

Deep Voice 3 trains much faster than its predecessors and can synthesize speech from over 2,400 different speakers.
Does Baidu Research publish their work?

Yes, Baidu Research publishes their findings and developments which can be accessed in the Publications section of their website.
Can I find career opportunities with Baidu Research?

No extra information was given regarding career opportunities, but Baidu Research does have a Careers section which likely contains information on job openings and career prospects.