I am involved in developing the following Techniques:

• •  End to End AI Solution for Voice Audit Analytics

    1. Sentiment analysis of call recordings and profiling Agent and customer Tones

    2. Automation platform for training and testing Deep learning models

    3. E2E ASR, support for automatic punctuation in transcription, confidence score etc

    4. Neural network based Language models

  • End to End AI Solution for Voice bot

    1. Context based ASR and low resource ASR

    2. Natural Speech synthesis with control over speed, pitch and speaking style

    3. Voice cloning for any speaker with limited amount of data

  • Speech Enhancement Using Generative Adversarial network.

    1.  Neural network based speech enhancement using GAN under high SNR.

    2.  Developing TTS system under noisy condition 

    3. Non-parallel system using Cycle GAN.

  • Data augmentation for Automatic Speech Recognition.

    1. Data augmentation using Generative adversarial network (GAN).

    2. Verification of GAN based Data augmentation in Automatic Speech Recognition System.

  • Statistical Vocoder and its application to Text-to-Speech (TTS).

    1. Different acoustic features and data size variation for WaveNet vocoder.

    2. WaveNet vocoder for Multi-speaker.

    3. Parallel WaveGan for Indian languages.

• Automatic Speech Recognition for Children.

  • 1. Prosody modifications to reduce mismatch condition .

    2. Exploring different acoustic features.

    3. Data augmentation for improving traning data.

• Pathological speech processing.

  • 1. Enhancement of Pathological speech .

    2. Analysis of Voice Disorders .

    3. Classification of different categories of Pathological speech.

• Applications of Riesz transform

  • 1. Pitch estimation using Riesz transform .

    2. Riesz transform for statistical parametric speech synthesis.

    3. Speech recognition using Riesz transform.

• Glottal activity region based processing for speech synthesis

  • 1.  Glottal activity detection using source features .

    2. Improved voicing decision for statistical parametric speech synthesis .

    3. Source modeling using features derived from glottal activity region

    4. Development of Text to Speech System (TTS) in Assamese and Manipuri Languages .