You will get transcribe and annotate complex audio datasets for speech AI models
Rising Talent
Project details
Audio Curation and Linguistic Annotation for Voice AI Engines
Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) models require structurally precise audio data to overcome accent barriers, background noise, and colloquial speech patterns. Drawing from 19+ years of experience leading complex language operations and data pipelines, I provide enterprise-grade phonetic transcription, speaker indexing, and acoustic attribute tagging to make your audio data model-ready.
What This Project Offers:
Advanced Speaker Diarization: Precise tracking and labeling of multiple speakers across overlapping multi-turn conversations.
Phonetic & Verbatim Transcription: High-accuracy audio-to-text logging capturing exact speech behaviors, fillers, and regional dialects.
Acoustic Attribute Tagging: Labeling ambient background noise, emotional undertones, audio defects, and volume drops.
TTS Pronunciation Lexicons: Curating custom pronunciation mappings and phonetic dictionaries for voice synthesis applications.
Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) models require structurally precise audio data to overcome accent barriers, background noise, and colloquial speech patterns. Drawing from 19+ years of experience leading complex language operations and data pipelines, I provide enterprise-grade phonetic transcription, speaker indexing, and acoustic attribute tagging to make your audio data model-ready.
What This Project Offers:
Advanced Speaker Diarization: Precise tracking and labeling of multiple speakers across overlapping multi-turn conversations.
Phonetic & Verbatim Transcription: High-accuracy audio-to-text logging capturing exact speech behaviors, fillers, and regional dialects.
Acoustic Attribute Tagging: Labeling ambient background noise, emotional undertones, audio defects, and volume drops.
TTS Pronunciation Lexicons: Curating custom pronunciation mappings and phonetic dictionaries for voice synthesis applications.
AI Algorithms
Generative Adversarial Network, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Art, AIOps, Conversational AI, Image Analysis, Natural Language Generation, Natural Language Understanding, Object Localization, Synthetic Data GenerationAI Models
BERT, BLOOM, ChatGPT, Dolly, GPT-3, GPT-4, GPT-J, GPT-Neo, LaMDA, LLaMA, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$125
|
Standard
$315
|
Advanced
$440
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | - | - | - |
Batch Normalization | |||
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | |||
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | |||
Model Testing & Optimization | |||
Model Tuning | |||
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | |||
Prompt Engineering | |||
Setup File | - | - | - |
Source Code | - | - | - |
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About Ajit
AI Training, Data Annotation, RLHF & Language Services | 19+ Yrs Exp
100%
Job Success
Nohra, India - 9:49 am local time
🔹Multimodal Data Annotation
▪️ Image and Video Annotation: Drawing precise boxes and tracking objects frame-by-frame.
▪️ Text Data Annotation: Sorting words, labeling categories, and tagging text based on guidelines.
🔹LLM Safety and Language Accuracy Testing
▪️ Red-teaming conversational LLMs by trying to trick them to find hidden errors or mistakes.
▪️ Reviewing LLM text outputs to check for false facts, errors, or tone problems.
▪️ Ensuring system answers match your company's safety rules and quality guidelines.
🔹Audio and Speech Data Services
▪️ Converting spoken audio files into clean, word-for-word text documents.
▪️ Tracking multiple speakers in one audio and labeling who is speaking for voice AI.
🔹Multilingual AI Localization and Validation
▪️ Reviewing LLM text and voice outputs to ensure they sound natural to local people.
▪️ Checking text on screens, subtitles, and graphics for any formatting or language errors.
PROVEN ACCOMPLISHMENTS AND PROJECT HIGHLIGHTS:
▪️ 100% Job Success: A history of delivering perfect, organized, and error-free files on time.
▪️ High Quality Standards: Clear data annotation for large projects with accurate work.
▪️ Total Privacy Protection: Trusted by major companies to handle sensitive business data safely.
EDUCATION AND ACADEMIC FOUNDATION:
🔸 Higher Education: Formal advanced college degree in Life Sciences.
🔸 Ongoing Learning: Training in data annotation, language checking and LLM behavior validation.
🔸 Applied Knowledge: This educational foundation enables me to manage large, highly detailed projects successfully.
Let us make sure your LLM systems run efficiently and remain completely safe.
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Steps for completing your project
After purchasing the project, send requirements so Ajit can start the project.
Delivery time starts when Ajit receives requirements from you.
Ajit works on your project following the steps below.
Revisions may occur after the delivery date.
Audio Curation and Linguistic Annotation for Voice AI Engines
Speaker Diarization: Tracking and labeling of multiple speakers Phonetic Transcription: Audio-to-text logging capturing speech behaviors, fillers Acoustic Tagging: Labeling background noise, emotional undertones, audio defects, and volume drops.