Voice Synthesis Expert

7 days ago


alwar, India beBeeMachineLearning Full time

We are seeking a skilled Deep Learning Voice Engineer to join our team and work on developing, training, and refining AI models for voice synthesis, voice cloning, speech recognition, and/or voice transformation.Job Description:The ideal candidate will have expertise in designing, developing, and fine-tuning deep learning models for voice synthesis, as well as implementing and optimizing neural network architectures. This includes tasks such as collecting, preprocessing, and augmenting speech datasets, collaborating with product and engineering teams to integrate voice models into production systems, and performing evaluation and quality assurance of voice model outputs.Requirements:Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.Strong experience with Python and machine learning libraries, including PyTorch and TensorFlow.Hands-on experience with speech/audio processing and relevant toolkits, such as Librosa, ESPnet, and Kaldi.Familiarity with voice model architectures, including TTS, ASR, and vocoders.Understanding of deep learning concepts and model training processes.Key Responsibilities:Voice Model Development: Design, develop, and fine-tune deep learning models for voice synthesis.Neural Network Architecture: Implement and optimize neural network architectures, such as Tacotron, FastSpeech, WaveNet, or similar.Speech Dataset Management: Collect, preprocess, and augment speech datasets.Collaboration: Collaborate with product and engineering teams to integrate voice models into production systems.Evaluation and Quality Assurance: Perform evaluation and quality assurance of voice model outputs.Benefits:This role offers the opportunity to work on cutting-edge technology, collaborate with a talented team, and contribute to the development of innovative voice models.About Us:We are a leading company in the field of artificial intelligence, dedicated to pushing the boundaries of what is possible with voice technology.



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