manmay nakhashi

AI Researcher

Pune, Maharashtra, India10 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in speech synthesis and recognition technologies.
Proven track record in developing TTS and ASR systems.
Strong background in machine learning applications in healthcare.

Stackforce AI infers this person is a Machine Learning Specialist in Speech Technology and Healthcare.

Contact

Skills

Core Skills

Speech SynthesisNatural Language Processing (nlp)Speech TechnologySpeech RecognitionMachine LearningHealthcare

Other Skills

AFIB classifierAI for dubbing contentASR (Deep speech based Algorithm)AlgorithmsAudio Super resolutionCC++Cross speaker Emotion TransferDeep LearningDeep neural network based noise suppressorECG Beat classification algorithmIn-car offline speech AssistantIntegrating Alexa engineMatlabMedical AI

About

Solving speeh synthesis problems.

Experience

10 yrs 1 mo

Total Experience

2 yrs

Average Tenure

2 yrs 8 mos

Current Experience

Resemble ai

Machine Learning Researcher

Oct 2023 – Present · 2 yrs 8 mos · United States · Remote

Dubdub.ai

Data Scientist

Aug 2022 – Sep 2023 · 1 yr 1 mo · Bengaluru, Karnataka, India

1. working on prosody based End-to-end TTS Models to clone Speaker Styles.
2. working on audio Super resolution.
3. working Cross speaker Emotion Transfer in TTS and Voice Cloning.
Dub any Content into Indian languages Through AI.

Prosody based End-to-end TTS ModelsAudio Super resolutionCross speaker Emotion TransferVoice CloningAI for dubbing contentSpeech Synthesis+1

Concertai

Data Scientist

Nov 2021 – Aug 2022 · 9 mos · Bengaluru, Karnataka, India

Visteon india

Data Scientist

Oct 2019 – Nov 2021 · 2 yrs 1 mo · Pune Area, India

1. worked on in car offline speech Assistant , trained and dployed ASR (Deep speech based Algorithm) and TTS (Fastspeech and multiband melgan based) for multiple languages( English US , German , Portuguese , English India ) made it real time for single core arm64 cpu (qulcomm infotainment board) through various model optimization techniques from tensorflow. trained deep neural network based noise suppressor for better noise reduction and improved performance.
2. integrated Alexa engine in Mahindra XUV700 short term project.

In-car offline speech AssistantASR (Deep speech based Algorithm)TTS (Fastspeech and multiband melgan)Model optimization techniquesDeep neural network based noise suppressorIntegrating Alexa engine+2

Tricog health

Data Scientist

Mar 2016 – Sep 2019 · 3 yrs 6 mos · Bengaluru Area, India

1. trained AFIB , VFIB and Normal Sinus rhythm classifier with .95 fscore.
2. trained ECG Beat classification algorithm for identify 5-6 different beat patterns.
3.worked on rule based ECG classification engine for low resource diagnosis.
4. Deployed models with tensorflow c_api for faster inference.

AFIB classifierVFIB classifierNormal Sinus rhythm classifierECG Beat classification algorithmRule based ECG classification engineTensorFlow C_API+2