AI systems like "Voice" specialize in processing and generating voice data. They are used for creating synthetic voices, text-to-speech conversion, and dubbing. Such AI systems assist in speech recognition, real-time translation, and managing voice assistants. They are also applied to enhance sound quality, remove noise, and analyze emotions in voice. Their goal is to make interaction with voice technologies more natural and efficient.
| Whisper | OpenAI's Whisper API offers robust, multilingual speech-to-text capabilities, trained on diverse data, free for commercial use under the MIT license. | https://aimlapi.com/models/whisper |
| Deepgram Nova-2 | Deepgram Nova-2 API features enhanced accuracy, multilingual support, and rapid transcription across various applications. | https://aimlapi.com/models/deepgram-nova-2 |
| Aura | Deepgram Aura: A real-time TTS model delivering human-like voices for responsive, high-throughput conversational AI agents and applications via API. | https://aimlapi.com/models/aura |
You can explore all these models on the model search page.
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