Audio Annotation Services for Speech and Voice AI
Train reliable speech, voice and audio AI with human-verified training data. Innovatiana provides managed audio annotation services for multilingual transcription, speaker diarization, speech labeling, phonetic alignment, sound-event detection and ASR dataset preparation.
🧏 Structured Speech and Audio Data
Transcription, segmentation, speaker diarization, emotion and sound-event labeling: we turn raw recordings into structured training data for ASR, voice agents, conversational AI and acoustic models.
🧑 Native and Domain-Trained Annotators
We assign native or fluent annotators according to language, accent and domain. They follow calibrated guidelines for transcription, speaker attribution, intent, emotion and acoustic-event labeling.
🛡️ Human-Verified Audio Quality
Dual review, timestamp checks, speaker-attribution controls and guideline calibration help us deliver consistent, traceable and training-ready audio datasets.
Audio Annotation and Speech Labeling Services
Speaker Diarization, Segmentation and Voice Activity Detection
Identify who is speaking and when, then segment recordings into speaker turns, speech, silence, music, noise or other acoustic regions. We annotate speaker changes, overlapping speech and voice activity with precise temporal boundaries for multi-speaker audio.
Verification of the format, quality and duration of the audio files to be processed
Specification of the types of segments to be identified: speaker changes, silences, sound events, etc.
Manual or automatic detection of cut points and assignment of a label to each segment (speech, music, noise, silence...)
Careful listening and adjusting time boundaries to ensure accurate segmentation
Conversation intelligence — Separate agents, customers and other participants in calls and meetings
Multi-speaker ASR — Create speaker-attributed transcripts for interviews, panels and natural conversations
Voice activity detection — Mark speech and non-speech intervals for streaming, endpointing and audio preprocessing models.
Multilingual Audio Transcription and Timestamping
Convert speech into accurate, time-aligned text across languages, accents and dialects. We support verbatim or cleaned transcription, speaker-attributed transcripts, code-switching, domain terminology and client-specific formatting conventions.
Identification of the languages present in the audio, linguistic transitions and the level of complexity (code-switching, accents...)
Dividing the audio into time segments, synchronized with the interventions of the different speakers and the language changes
Writing the content word for word in the original language, respecting grammar, hesitation, and oral particularities
Proofreading by native or experienced linguists to ensure fidelity, linguistic consistency and compliance with the requested format (verbatim, cleaned, ...)
ASR and speech-to-text — Create ground-truth transcripts for training, fine-tuning and benchmarking speech-recognition models.
Contact centres — Transcribe calls with timestamps, speaker roles and terminology adapted to the business domain.
Media and accessibility — Prepare searchable transcripts, captions and subtitle-ready files for recorded content.
Speech, Intent, Emotion and Paralinguistic Annotation
Enrich spoken-language data with labels for intent, emotion, sentiment, named entities, accents, prosody and non-verbal cues. Time-aligned annotations can capture pauses, laughter, hesitation, interruption, emphasis and other conversational signals.
Determine what to annotate: words, named entities, emotions, breaks, hesitations, tone, etc.
Cleaning, cutting, and sometimes pre-transcribing voice content to facilitate annotation work
Addition of specific labels or tags to each voice event according to the defined pattern (ex: [LAUGHS], [HESITATION], [INTERRUPTION])
Cross-checking by multiple annotators or by automatic tools to ensure data consistency and reliability
Voice agents — Label user intents, slots and entities for spoken-language understanding and task completion
Customer-experience analytics — Annotate emotion, sentiment, escalation signals and conversation outcomes
Expressive voice AI — Capture prosody, emphasis and non-verbal cues for natural speech synthesis and conversational models
Audio Classification and Sound Event Annotation
Assign one or more labels to complete recordings or time-bounded acoustic events, including speech, music, alarms, engines, impacts, environmental sounds and background conditions. Overlapping events can be annotated independently when the model requires multi-label data.
Establishment of target categories (e.g. speech, applause, engine, silence, rain...) according to the objectives of the project.
Cleaning, normalizing the volume, cutting into clips or time windows for better readability.
Allocation of one or more labels per audio segment, manually or semi-automatically, according to the identified sound spectrum.
Verification of the accuracy of the labels and adjustment of the data to avoid biases linked to over- or under-represented classes.
Industrial monitoring — Detect alarms, machine states, impacts and anomalous equipment sounds.
Smart environments — Recognize sirens, glass breakage, door sounds and other safety-relevant events.
Media and music — Classify genres, instruments, scenes and sound effects for indexing and recommendation.
ASR Training Data Preparation and Validation
Prepare representative, consistent and fully documented datasets for automatic speech recognition. We clean and segment recordings, create or validate transcripts, align timestamps, annotate speakers and metadata, and organize files in the schema required by your training and evaluation pipeline.
Gather representative voice recordings (diversity of speakers, accents, environments) and ensure legal compliance.
Accurately transcribe spoken content, then sync text to audio via word-to-word or phoneme-to-phoneme alignment.
Elimination of errors, extraneous noises, and inconsistencies. Standardization of punctuation, abbreviations, and writing conventions.
Organization of audio files and metadata (age, gender, accent, recording conditions...) according to the formats expected by ASR models.
Domain-specific ASR — Prepare speech data containing medical, legal, financial, industrial or technical terminology.
Model evaluation — Build balanced validation and test sets for word error rate, speaker attribution and robustness analysis.
Multilingual and accented speech — Improve coverage across dialects, code-switching and real-world recording conditions.
Custom Speech Data Collection and Corpora
Design and collect custom speech datasets for a defined language, accent, demographic coverage, domain, device or acoustic environment. We can manage participant sourcing, recording protocols, consent, metadata, quality checks and delivery alongside annotation.
Identification of languages, dialects, contexts of use (reading, conversation, voice commands...), and technical specifications (format, duration, number of speakers).
Selection of varied profiles according to the criteria of the project: age, gender, geographical origin, language level, etc.
Voice capture in controlled or natural conditions, depending on the case (studio, telephone, real environments...).
Verification of audio clarity, removal of non-compliant recordings, and organization of the corpus in a format that can be used by AI teams.
Low-resource languages and regional accents — Collect representative speech where public datasets are insufficient.
Voice commands and conversational AI — Record scripted or natural interactions for specific products and environments.
Inclusive speech technology — Improve model coverage for children, older speakers and diverse speech patterns, subject to appropriate consent and ethical safeguards.
Use cases
Our expertise covers a wide range of AI use cases, regardless of the domain or the complexity of the data. Here are a few examples:
Why choose Innovatiana for Audio Annotation?
Our added value
Extensive technical expertise in data annotation
Specialized teams by sector of activity
Customized solutions according to your needs
Rigorous and documented quality process
State-of-the-art annotation technologies
Measurable results
Boost your model’s accuracy with quality data, for model training and custom fine-tuning
Reduced processing times
Optimizing annotation costs
Increased performance of AI systems
Demonstrable ROI on your projects
Customer engagement
Dedicated support throughout the project
Transparent and regular communication
Continuous adaptation to your needs
Personalized strategic support
Training and technical support
Compatible with
your stack
We use all the audio annotation platforms of the market, adapted to your needs and labeling workflows!
Secure Data
We pay particular attention to data security and confidentiality. We assess the criticality of the data you want to entrust to us and deploy best information security practices to protect it.
No stack? No prob.
Regardless of your tools, your constraints or your starting point: our mission is to deliver a quality dataset. We choose, integrate or adapt the best annotation software solution to meet your challenges, without technological bias.
Build Better Speech and Audio AI With Human-Verified Training Data!
