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T
Thurman A.

Thurman A.

Speech data specialist and computational linguist

USA flagSan Ramon, Usa

Key Skills

Software

No software listed

Top Subject Matter

My strongest subject matter areas are Computational Linguistics
Acoustic Phonetics
Speech Data Engineering. Over the past 6 years
my core industry focus has been Speech & Language AI
where I specialize in developing

Top Data Types

No data types listed

Top Task Types

No task types listed

Freelancer Overview

THURMAN L. ANTONIO thurmanantonio27 @gmail.com 13207661354 San Ramon, CA Professional Summary Proven advanced speech data specialist and computational linguist, having worked for more than 6 years in a dedicated capacity to innovate the speech and language AI lifecycle. Highly expert in the overlap of acoustic phonetics, phonology and data engineering, having successfully developed large, high quality training corpuses for next generation Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) models, from unscripted, raw acoustic data. Known for a careful attention to linguistic exactitude, particularly in the extraction and annotation of prosodic, intonational phrase boundaries and subtle morphosyntactic variants in spontaneous spoken American English. Knowledgeable of advanced acoustic analysis software and having very practical experience in using Praat, ADAP, and multi-modal annotation software to perform sub- second segmentation and waveform verification. Familiar with and very good at reading and precisely isolating and naming audio markers, pitch resets, final syllable elongation and overlapping speech; confirming audio-to-text alignment by ear. Skilled in handling the structural difficulties of natural, unscripted dialogs, such as disfluencies, false starts, filled pauses, mimicry, reduced forms, and non-linguistic vocalizations; able to preserve the authenticity of an unscripted, linguistically rich dataset to ensure downstream machine learning mode

Labeling Experience

I have prior experience annotating text and bounding boxes for computer vision models to improve machine learning accura

I have prior experience annotating text and bounding boxes for computer vision models to improve machine learning accuracy.

Not specified

Education

P

Ph.D

Degree not specified

Not specified
Not specified

Work History

C

Company not specified

Speech Data Specialist/ Language Consultant

Location not specified
Not specified