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  • AI Assistants

Neosapience Launches SSFM v3.0 AI Voice Model


Neosapience Launches SSFM v3.0 AI Voice Model
  • by: Source Logo
  • |
  • December 18, 2025

Neosapience, developer of the Typecast platform for expressive AI voice and video creation, has released SSFM v3.0, a groundbreaking voice model featuring automatic emotion recognition and universal voice transformation to deliver dynamic, contextually adaptive synthetic speech for creators, storytellers, and enterprises.

Quick Intel

  • Neosapience unveils SSFM v3.0 with automatic context-based emotion expression in Typecast.
  • Analyzes scripts to assign appropriate emotions per sentence without manual tagging.
  • Universal Voice Transformation extrapolates from <5 minutes of audio for styles beyond original speaker capabilities.
  • Supports native fluency in 6 major languages and over 30 additional ones, eliminating accent limitations.
  • Introduces reusable Emotion Design via prompting and natural language fine-tuning like "add urgency."
  • Trained on 10x larger datasets for hyper-realistic, emotive speech.

Redefining Expressive AI Voice Synthesis

Traditional AI voices often remain limited to recorded styles or require manual emotion inputs. SSFM v3.0 advances the field with Context-based Automatic Emotion Expression, autonomously interpreting scripts—from presentations to narratives—and applying fitting emotional delivery, producing outputs indistinguishable from human performances.

Universal Transformation and Multi-Language Fluency

From minimal audio samples, the model generates vocal performances in diverse styles and emotions unattainable by the original speaker naturally. It achieves native-like fluency across English, Korean, Japanese, Chinese, Spanish, Vietnamese, and more, enabling seamless global content scaling without tonal compromises.

Advanced Emotion Control Tools

Creators gain flexible dual controls:

Emotion Design allows prompting to define and reuse custom emotions across projects without retraining.

Natural Language Prompting refines intensity via instructions such as "make it warmer."

Automatic Context Analysis handles script-wide emotion assignment.

Emotion Transfer applies user-recorded feelings to any AI voice.

These eliminate manual adjustments, reducing production from weeks to minutes for polished results accessible to non-experts.

"Our latest Typecast model redefines the boundaries of AI-driven voice," said Taesu Kim, co-founder and CEO of Neosapience. "For the first time, with just a few minutes of human audio we can develop a voice with AI that expands on the original, delivering rich performances well beyond what was recorded. For example, we can create voices that are even more emotive than the speaker is capable of producing on their own. Our vision is to empower creators with new dimensions of expression, opening possibilities that surpass simple replication."

Powered by vastly expanded training data and embedding vectors for text-tone mapping, SSFM v3.0 supports applications in content creation, enterprise APIs, brand communications, and media.

"Typecast feels like holding real auditions for the characters in my head," said Gabriel Knight, Film Director & Actor. "I can try different voices, adjust timing, and play with emotions until the story truly comes alive. It's not just a voice tool—it feels like I'm casting, directing, and producing all at once."

With consistent 10%+ monthly growth over three years and over 2 million users, Neosapience continues expanding access to professional AI voice technology.

SSFM v3.0 is available now on Typecast.

 

About Neosapience

Founded in 2017 by former Qualcomm engineers and KAIST graduates, Neosapience develops AI-powered virtual actor technology that makes professional-quality voice and video content creation accessible to creators worldwide. The company's Typecast platform serves over 2 million users globally and has achieved $10 million in annual recurring revenue through its innovative approach to emotional AI voice synthesis.

  • AI VoiceVoice AIContent Creation
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