Research Scientist for Speech Synthesis
1 г. назад
SeniorHybrid
speech synthesisvoice cloningttsnlpdeep learningtraining pipelinesmodel deployment
Develop advanced text-to-speech and voice cloning models for synthetic voices at Valka.
О компании
- About Valka Valka, a visionary spin-off from the Realms Group (the parent company of .gg ), is on a mission to revolutionize the way people create and experience digital content . Our team believes that content shouldn’t just be consumed; it should be co-created in real time , blurring the lines between imagination and reality. By harnessing the power of cutting-edge AI, we aim to build an interactive human-digital platform where virtual characters respond dynamically to each user’s voice, text, gestures, and more. This is your chance to join a diverse group of innovators who are driven to redefine what’s possible in generative content. Together, we’re changing the paradigm from passive viewing to active participation, unlocking new creative frontiers across gaming, entertainment, edu
Другое
- Design, develop, and optimize text-to-speech models with a focus on maintaining the style and authenticity of the original voice actors.
- Collaborate with teams to work on audio datasets that include voice recordings and multilingual transcriptions.
- Experiment with state-of-the-art architectures for speech synthesis, including neural TTS and voice cloning models.
- Define robust validation strategies and implement custom evaluation metrics comparing synthetic vs. real gameplay.
- Contribute to foundational MLOps practices and infrastructure; from experiment tracking, CI/CD, deployment, monitoring, and versioning.
- Solid experience with deep learning frameworks ( PyTorch, TensorFlow, or JAX )
- Understanding of audio processing ( sampling, spectrograms, vocoders )
- Experience with training text-to-speech, and voice cloning models
- Familiarity with speech synthesis models such as WaveNet, Tacotron, and VITS
- Worked with voice cloning models (e.g., XTTS, YourTTS, or similar)
- Experience with transformers and diffusion models .
- Ability to implement ideas from research papers
- Understand machine learning and deep learning fundamentals
- Strong programming skills and experience working with Python