Speech Synthesis
Neural architectures for generating natural, expressive speech from text. We focus on prosody modeling, emotion control, and real-time streaming.
SpeechifyAI is a research lab working across synthesis, cloning, expression, and multilingual audio. Our models turn text into speech that feels present, useful, and human.
Natural speech is more than a clean waveform. It needs timing, intent, identity, and enough control to fit the moment where it will be heard.
Each research area sharpens a different part of the same experience, from the first audio frame to the identity and emotion a listener recognizes.
Neural architectures for generating natural, expressive speech from text. We focus on prosody modeling, emotion control, and real-time streaming.
Learning speaker identity from minimal reference audio. Our work covers zero-shot cloning, speaker disentanglement, and cross-lingual identity preservation.
Modeling the subtle cues that make speech feel genuine — rhythm, emphasis, micro-pauses, and tonal variation that convey emotion beyond words.
Building systems that handle code-switching and maintain speaker identity across language boundaries.
We are looking for researchers and engineers who want their work to reach real listeners.