Stt and Tts Expert

3 months ago


Noida Uttar Pradesh, India Next Business Media Full time

**Key Responsibilities**:

- Work with existing STT and TTS engines (Google, Amazon Polly, Microsoft Azure Cognitive Services, etc.) or develop custom solutions as required.
- Collaborate with developers and data scientists to train, fine-tune, and improve speech recognition models.
- Research and implement algorithms for speech processing, voice synthesis, and natural language processing (NLP) to ensure high accuracy and performance.
- Evaluate and analyze the performance of STT and TTS models, focusing on error rates, latency, and user experience.
- Create custom voice models for specific accents, languages, or dialects, and work towards improving multilingual support.
- Stay updated with advancements in speech technologies and propose innovations to enhance the system’s capabilities.

**Required Skills**:

- Strong hands-on experience with **Speech-to-Text (STT)** and **Text-to-Speech (TTS)** technologies and frameworks.
- Experience working with industry-standard tools such as **Google Speech-to-Text API**, **Amazon Polly**, **Microsoft Azure Cognitive Services**, **IBM Watson**, or **OpenAI Whisper**.
- Proficient in **Natural Language Processing (NLP)** and familiarity with deep learning frameworks like **TensorFlow**, **PyTorch**, or **Keras**.
- Knowledge of phonetics, acoustic models, and speech signal processing techniques.
- Experience in programming languages such as **Python**, **C++**, or **Java** for developing and integrating speech solutions.
- Familiarity with machine learning algorithms, particularly **ASR (Automatic Speech Recognition)** and **TTS synthesis** models.
- Strong knowledge of **cloud platforms** (AWS, Azure, Google Cloud) and their speech-related services.
- Understanding of user accessibility needs and how to implement solutions for different use cases such as assistive technologies.

Pay: ₹20,000.00 - ₹40,000.00 per month

Schedule:

- Day shift

**Experience**:

- total work: 1 year (preferred)

Work Location: In person

Expected Start Date: 08/10/2024


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