Bark is an open-source AI model created by Suno.ai that can generate realistic, multilingual speech with background noise, music, and sound effects. Unlike typical TTS engines, Bark produces highly natural-sounding audio using a GPT-style architecture.
The Bark AI Model: Generating Realistic Audio with Text-to-Speech
Bark, developed by Suno.ai, is an open-source text-to-audio model that is capable of generating highly realistic and multilingual speech. This model includes background noise, music, and basic sound effects to make the speech more natural. In contrast to traditional text-to-speech engines that produce robotic and monotonous sounds, Bark deviates in unexpected ways from the given script, making the audio more lifelike and engaging.
I have reviewed the meeting notes provided. While they mainly contain information about an article on AI and text-to-speech models, there don’t seem to be any specific action items mentioned. Therefore, there are no tasks to assign to anyone based on these meeting notes. If there are any other specific tasks or action items that need to be addressed, please provide those details.
