
Voice Model Architect
6 days ago
Job Opportunity:
We are seeking a seasoned Voice Model Architect to join our team.
A highly skilled professional with hands-on experience in building and optimizing voice models is required to develop, train, and refine AI models for voice synthesis, voice cloning, speech recognition, and/or voice transformation.
- Developed and optimized text-to-speech models that achieved human-like voice synthesis, maintaining the unique style of voice actors across multiple languages.
- Implemented real-time processing solutions that reduced inference time to under 1 second, enhancing user interaction and experience.
- Managed large-scale datasets for voice cloning projects, ensuring high performance and reliability while supporting multilingual transcriptions.
Key Responsibilities:
- Design, develop, and fine-tune deep learning models for voice synthesis (e.g., TTS, voice cloning).
- Implement and optimize neural network architectures such as Tacotron, FastSpeech, WaveNet, or similar.
- Collect, preprocess, and augment speech datasets.
- Collaborate with product and engineering teams to integrate voice models into production systems.
- Perform evaluation and quality assurance of voice model outputs.
- Research and stay current on advancements in speech processing, audio generation, and machine learning.
Requirements:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
- Strong experience with Python and machine learning libraries (e.g., PyTorch, TensorFlow).
- Hands-on experience with speech/audio processing and relevant toolkits (e.g., Librosa, ESPnet, Kaldi).
- Familiarity with voice model architectures (TTS, ASR, vocoders).
- Understanding of deep learning concepts and model training processes.
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