What is TTS-1 by OpenAI?
TTS-1 (Text-To-Speech) is a neural network model developed by OpenAI to convert text into natural and convincing speech. It is part of broader research in the field of natural language processing (NLP) and uses advanced machine learning algorithms to synthesize a voice that sounds as if it were spoken by a human.
How does TTS-1 work?
TTS-1 is based on a deep learning architecture that includes several key components:
- Text Analysis: At this stage, the model analyzes the input text to determine its syntactic and semantic structure. This is necessary to understand the accents, stresses, and intonations that will be used when synthesizing speech.
- Acoustic Modeling: After text analysis, the model predicts acoustic features such as melody, rhythm, and tempo. These features form the basis for the subsequent stage of audio file generation.
- Voice Generation: In the final stage, acoustic features are converted into an audio file. TTS-1 uses complex algorithms to synthesize sound as close as possible to a real human voice.
Supported Languages of TTS-1 and TTS-1-HD
Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bosnian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kannada, Kazakh, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Maori, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Turkish, Ukrainian, Urdu, Vietnamese, and Welsh.
