Data Labeling and Collection for Speech-to-Text AI Models

Fuel your speech-to-text AI models with labeled data and Sapien’s specialized data labeling and collection services designed for optimal accuracy and performance

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Sapien's Speech-to-Text Data Labeling with YouGuang

For YouGuang, Sapien provided transcription and annotation for a German voice library, producing high-quality labeled datasets for Speech-to-Text model training.

This labeled data allows Speech-to-Text systems to convert spoken language into accurate written text, supporting multilingual applications with precise transcriptions.

Speech Segmentation and Transcription

Use speech-to-text annotation to segment and transcribe spoken audio into text to power your AI models with high-quality data for training data

Speaker Identification and Differentiation

Label audio with multiple speakers and distinguish between them to enhance transcription accuracy in diverse conversational settings

Accent and Dialect Annotation

Annotate speech data with specific accents and dialects to improve model performance across various linguistic backgrounds, ensuring you use reliable automated transcription services to do so

Contextual Speech Data Collection

We collect and label context-rich audio data, including industry-specific terminology and jargon, to tailor models to specific applications with our audio transcription software

Noise and Distortion Labeling

Identify and label background noise and audio distortions to refine model accuracy and robustness in real-world environments

Customized Quality Assurance

Sapien’s advanced hybrid human-in-the-loop and automated quality control processes ensure high accuracy and reliability in your labeled and collected speech data with our speech-to-text converter

Real-Time Transcription Data

Utilize voice-to-text software to collect and label data that supports real-time transcription capabilities for your model; important for applications like live captioning and virtual assistants

Accelerate Speech-to-Text Model Training with Precision Data

Training effective speech-to-text transcription models requires extensive, accurately labeled audio data. Handling various speakers, accents, and noisy conditions can make manual data labeling and collection challenging and time-consuming.

Sapien provides expert services to streamline this process, for transcription software, voice-activated systems, or live captioning solutions. Sapien delivers the data needed to improve your speech-to-text AI model performance.

Speech-to-Text Domain Expertise

Our team excels in labeling and collecting diverse audio data, including various speakers, accents, and noisy environments, for precise transcription

Fully Customized Labeling and Data Collection

We customizeWe customize our data labeling and collection processes to fit your speech-to-text AI model requirements for optimal results our labeling processes to your language detection AI models for optimal performance and precision

Human-in-the-Loop QA

Our hybrid HITL and automated quality control measure high-quality labeled data even in complex or challenging audio conditions

Scalable, Decentralized Labeling

Our global decentralized network of skilled labelers and gamified platform scale can meet the demands of large-scale data collection and labeling projects

Custom Annotation Modules

We build custom labeling modules to maximize accurate segmentation, transcription, and contextual data labeling

Power Your Speech-to-Text AI Models with Labeled Data from Sapien

Schedule a consult with our team to learn how Sapien’s data labeling and data collection services can advance your speech-to-text AI models