Sony’s Research on Neural Networks Advances AI Speech

Sony announces significant progress in artificial intelligence speech technology. Researchers developed new neural network methods. These methods make computer voices sound much more natural. Sony aims to create AI that speaks like humans. This work tackles robotic sounding speech.

(Sony’s Research on Neural Networks Advances AI Speech)

The research focuses on how humans talk. Scientists studied the tiny details in human voices. They built models to copy these details. These models help AI voices avoid strange sounds. They also help the voices show emotion better.

Previous AI voices often sounded flat. Sony’s new models add variation. This variation is similar to real people. It makes speech feel warmer and more alive. Listeners find these voices easier to understand. They also find them more pleasant to hear.

Sony’s team trained its neural networks differently. They used large amounts of real speech data. The systems learned patterns from this data. They learned how pitch and speed change naturally. This reduces harsh or mechanical tones.

The technology learns to predict sound flow. It anticipates how sounds connect. This smooths out the speech. It removes jarring jumps between words. The result is a more continuous sound.

Testing showed positive results. People preferred Sony’s AI voices over older versions. They noted the improved naturalness. They felt the voices sounded less like machines. The voices conveyed meaning more clearly.

A Sony researcher explained the goal. “We want AI speech to disappear. People should just hear the message. They shouldn’t think about the machine behind it. Our research moves us closer to that.”

These advancements have many uses. They can improve virtual assistants. They can make navigation systems sound friendlier. They can help in customer service applications. Entertainment and education also benefit.

(Sony’s Research on Neural Networks Advances AI Speech)

Sony continues this important research. They are pushing the boundaries of AI speech. They believe realistic AI voices are essential. These voices will enable better human-computer interaction.