Job Description
We are developing a real-time speech-to-speech (S2S) accent softening system designed for on-device deployment, with a strong emphasis on ultra-low latency, prosody control, and phoneme-level manipulation.
The primary goal of this work is to convert Filipino-accented English into a softened, neutral American accent while preserving the speaker's natural voice, identity, and expressiveness.
In addition to this, we are also building a separate on-device voice translation feature, which will require similar expertise in S2S modeling, low-latency inference, and speaker identity preservation.
We are seeking a Senior Speech AI Engineer with hands-on experience in direct S2S models (not STT+TTS pipelines). You will lead the design, experimentation, and optimization of voice-to-voice accent conversion systems, and contribute to the architecture of the on-device voice translation module, both operating in real time on CPU.
The target system performance for accent ...
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