AI Data ServicesSpeech & Audio

Audio Transcription & Annotation Services

Human-verified speech-to-text, speaker diarization, and acoustic event labeling.

VAIKA GROUP provides professional audio transcription and audio annotation services to transform speech recordings and acoustic data into structured, searchable and machine-readable datasets.

Our workflows combine human-verified speech-to-text transcription with detailed acoustic event labeling, speaker diarization, timestamp annotation, language identification and speech emotion classification.

We support interviews, conference recordings, business meetings, earnings calls, customer conversations, voice assistant recordings and environmental audio datasets.

// OPERATIONAL CHALLENGE SOLVED

Why Organizations Outsource Audio Transcription & Annotation Services

Corrects automatic speech recognition (ASR) errors on accented, noisy, or overlapping multi-speaker audio and enriches sound files with acoustic context.

// EXECUTION PIPELINE

Our 8-Step Production Process

Structured guidelines, trained human operators, and multi-stage verification ensure predictable throughput at any dataset scale.

STEP 01

Audio Assessment

Evaluate recording quality, language, speaker count, background noise and transcription requirements.

STEP 02

Speech-to-Text Transcription

Convert audio recordings into accurate written transcripts using verbatim or clean-read transcription according to project requirements.

STEP 03

Speaker Diarization

Identify individual speakers and assign consistent speaker labels throughout the recording.

STEP 04

Timestamp Annotation

Add precise timestamps to words, phrases, speaker turns and important acoustic events.

STEP 05

Audio Event Labeling

Identify and classify environmental sounds such as sirens, footsteps, engines, alarms and background noise.

STEP 06

Speech & Emotion Annotation

Label speech tone, emotion, prosody, wake words, keywords and language-specific characteristics.

STEP 07

Language & Dialect Identification

Categorize language, accent and dialect information where required.

STEP 08

Human Quality Review

Verify transcripts, speaker identification, terminology, timestamps and annotation consistency.

// TECHNICAL CAPABILITIES

Key Capabilities Included

Verbatim and clean-read transcription
Speaker diarization and identification
Word-level and sentence-level timestamping
Speech emotion and prosody annotation
Acoustic event detection
Wake-word and keyword labeling
Language and dialect classification
Background noise and audio quality tagging
// PRODUCTION DELIVERABLES

Deliverables & Formats

  • TXT, DOCX and JSON transcripts
  • Timestamped SRT and VTT subtitle files
  • Speaker diarization datasets
  • Segmented audio annotation files
  • Acoustic event and classification metadata
// APPLICATIONS & INDUSTRIES

Primary Use Cases & Sectors

Voice assistantsSpeech recognitionConversational AICall center analyticsSpeech emotion recognitionAcoustic machine learning
SPECIALIZED WORKFLOW COVERAGE

Speech-to-Text Transcription • Audio Labeling • Speaker Diarization • Audio Transcription with Timestamps • Speech Emotion Annotation • Voice Data Annotation • Acoustic Event Detection

// MULTI-STAGE QUALITY ASSURANCE

Verification & Consistency Controls

Human reviewers verify every transcript against source audio waveforms, auditing speaker turn boundaries, regional dialects, domain terminology, and millisecond timestamps.

GUIDELINE CALIBRATIONHUMAN AUDIT REVIEWSSCHEMA VALIDATION
// SERVICE FAQ

Frequently Asked Questions

Yes. Depending on whether you are training ASR speech models or producing business transcripts, we execute strict verbatim (preserving fillers and false starts) or clean-read formatting.
// PROJECT SCOPING & PILOT REQUEST

Scope Your Audio Transcription & Annotation Services Project

Share your dataset format, volume, or back-office requirements. Our Data & AI Core engineering lead responds within one business day with a pilot plan.