Automatic Speech Recognition Experts in Berlin
matched in minutes with vetted, available professionalsHire experts who build reliable voice interfaces, transcription pipelines and multilingual speech services with tools such as Whisper, Google Speech-to-Text and cloud audio APIs. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Automatic Speech Recognition
Vili D.
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
Optimized the data architecture (Medallion) to better decouple processing steps and improve transparency and reproducibility
Ensured the technical quality of data processing in Databricks by introducing schema enforcement, data quality checks, and a structured data architecture
Pipeline orchestration with Azure Data Factory
Improved and automated the development and deployment process by integrating Git and GitHub Actions
Technical leadership of the Data Engineering team (3 employees)
Led workshops to optimize and stabilize the data platform and development process
Collected and prioritized new requests and maintained the product backlog
Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS Sharepoint, Mural
Mukund B.
Last position:
Voice AI Chatbot - Real-Time Audio Assistant
- ▶ Built real-time voice assistant (STT → LLM → TTS pipeline) benchmarking and evaluating multiple STT providers including faster-whisper and Azure Speech. achieved sub-3s latency, Groq API (Llama 3) with multi-turn memory - directly handling edge cases in dictation, names and passcode recognition.
Dimitra F.
Last position:
AI training for employees of an engineering firm at TGA Raum+ Planungsgesellschaft für Technische Gebäudeausrüstung mbH
Independently designed and conducted on-site training for four employees without specific technical knowledge. Taught generative AI using concrete tasks from their professional everyday work.
- Topics: possible applications, practical use, review of AI results, data protection, and handling confidential information.
- Training materials prepared independently and content delivered in a way suited to the target group; written reference dated 14.05.2025 is available.
Josphat G.
Last position:
Data Annotation Lead at Sigma AI
- Lead a team of 15 annotators on large-scale computer vision projects for autonomous vehicle systems
- Developed comprehensive annotation guidelines that improved inter-annotator agreement by 35 percent
- Implemented quality control processes that reduced error rates by 42% across all projects
- Collaborated with ML engineers to identify edge cases and improve dataset quality
- Managed annotation projects for Fortune 500 clients, delivering 100% on time
Marija J.
Last position:
Professional Coach for IT Professionals
- Coach international tech professionals through career transitions, helping high achievers move from reactive decision-making to clarity-driven career and life choices.
- Combined software engineering and consulting background with coaching expertise to address challenges specific to the tech industry, including career stagnation, imposter syndrome, and uncertainty around AI's impact on the field.
- Some of my client's measurable outcomes include landing multiple concurrent interview processes after a multi-year career gap, launching independent product ventures, securing technical roles that improved both financial stability and job performance, transitioning into non-tech careers.
- ~200 hours of coaching sessions. Guided clients through 1:1 and group coaching engagements, ranging from single sessions to year-long partnerships, focused on sustainable, values-aligned career growth.
Olaf T.
Last position:
CTO, Shareholder, Agile Coach, Product Owner at fluidx digital GmbH
- Development and rollout of a browser-based platform for camera streaming, augmented reality (AR), and visual computing
- Device-independent camera streaming for smartphones, tablets, desktop PCs, as well as VR and AR headsets
- Ensuring GDPR-compliant hosting in Open Telekom Cloud and other sovereign cloud providers
- Intuitive visual and collaborative features to increase efficiency and integrate smoothly into existing business software
Sara A.
Last position:
Research Associate and Data Scientist at National Center of Robotics and Automation - Condition Monitoring Lab
- Developed ASR and TSR-based speech processing pipelines on AWS, enabling efficient feature extraction and scalable deployment for speech and text analytics.
- Built a Multimodal Speech Emotion Recognition system combining NLP and deep learning (audio + text), achieving 98% accuracy and supporting real-time, cloud-based inference.
- Designed and optimized end-to-end model training and evaluation workflows using AWS services (S3, EC2, Lambda) to ensure performance, reliability, and reproducibility.
- Created and deployed interactive, user-friendly dashboards for data visualization and insight generation, supporting research teams and management in data-driven decision-making.
Shivansh D.
Last position:
Product Manager at Es Magico
- Launched an AI marketplace aggregator leveraging deep knowledge of e-commerce and marketplaces that reduced product listing time by 65% and improved compliance rates by 70% for a US based client
- Implemented AI-based content generation and image validation features based on marketplace-specific SEO principles and selling policies, eliminating up to 8 hours of manual work per week
- Created an intelligent inventory system with demand forecasting algorithms that decreased stockouts by 30% while optimizing cross-platform inventory allocation across multiple sales channels
- Engineered a conversational AI sales agent to achieve <600ms response latency and >92% intent classification accuracy, ensuring natural, human-like interactions across 10+ Indian languages
- Integrated persona-based conversation flows that improved engagement and upsell conversions by 28% using LLMs, SLMs, RAG and the latest STT and TTS technologies
- Delivered an enterprise-grade real estate CRM and lead management system that reduced lead management effort by 60% through automated workflows
- Architected role-based access controls after conducting 50+ stakeholder interviews to identify critical security needs
- Managed sprint execution with 90% on-time feature delivery while maintaining technical quality standards
- Developed a global VOIP application from concept to launch by defining product strategy based on competitive analysis for an Australian client
- Reduced onboarding friction by 60% through UX optimization, resulting in 25% higher user conversion rates
- Executed data-driven prioritization that accelerated time-to-market while balancing technical constraints
João M.
Last position:
Founder & Builder at Franzie
- Led the "0 to 1" development and launch on App Store and Google Play, utilizing Mixpanel analytics to validate and refine features during a 100-user beta.
- Built the full-stack architecture using React Native and Supabase, integrating Gemini and ElevenLabs APIs to power personalized AI stories and speech-to-text.
- Engineered a custom spaced repetition algorithm to optimize vocabulary retention and personalize the learning path for users.
Ebrahim W.
Last position:
Certified Trainer for Mach Software for the State of Berlin at HKR Senfin Berlin
- Fund management
- Budget
- Mach BI
Discover over 15,000 top freelancers
Statistics of experts using Automatic Speech Recognition
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.6 years
Positions per freelancer
7
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Education, Media and Entertainment
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
50%
Doctorate
13%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
90%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Berlin using Automatic Speech Recognition
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Automatic Speech Recognition experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (90%)
- Education (60%)
- Media and Entertainment (40%)
- Professional Services (40%)
- Automotive (30%)
- Healthcare (30%)
- Manufacturing (30%)
- Retail (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it does
Automatic Speech Recognition, or ASR, converts spoken audio into written text. It supports live captions, searchable recordings, voice commands, call transcription and hands-free interfaces. Quality depends on audio conditions, language, accents, terminology and the way confidence is handled.
Where it is used
ASR sits inside products and workflows that need speech to become usable data.
- Live captions for meetings, events and video platforms
- Transcription for contact centres, interviews and media archives
- Voice search, dictation and conversational interfaces
- Speech analytics, topic detection and compliance workflows
Berlin companies can apply these systems across media, mobility, public services, customer operations and multilingual products. Local language requirements may include German speech, English content and mixed-language conversations.
Ecosystem and tooling
Professionals work with open-source and hosted options, including Whisper, Kaldi, Vosk, Google Speech-to-Text, Amazon Transcribe, Microsoft Azure Speech and specialised APIs. They connect audio capture, streaming transport, diarisation, punctuation, timestamps and post-processing. Python is common for model integration and evaluation, while cloud services, containers and message queues support production delivery.
When to hire specialists
Freelance expertise is useful when a team needs to choose a model, improve recognition quality or move from a prototype to a dependable service.
- Audio data is noisy, sparse or difficult to label
- Recognition quality varies across speakers, accents or domains
- A real-time pipeline must handle latency and interruptions
- Transcripts need redaction, search, summarisation or analytics
A specialist can also assess hosted APIs against self-managed models and define a test set that reflects real user speech.
What strong professionals deliver
Strong specialists understand signal quality, feature extraction, language models and evaluation metrics without treating them as isolated tasks. They design fallback behaviour, confidence thresholds and human review paths. Their deliverables may include a tested inference service, streaming integration, transcript schema, monitoring dashboards and clear deployment documentation.
They also address access controls, retention, consent and sensitive audio handling. Good work makes errors visible and gives product teams practical ways to improve the system after launch.
Choosing the right fit
Look for evidence with the speech conditions your product will face, not only familiarity with a named model. Ask how the professional measures word error rate, latency, speaker separation and performance across languages or accents. A useful trial can examine representative recordings, explain trade-offs and produce an improvement plan.
For Berlin-based teams, remote collaboration often works well when audio samples, test criteria and security requirements are organised early. On-site work may help when specialists need to observe physical microphones, room acoustics or operational call equipment.
Frequently asked questions
Before you brief your next project: the most common questions about Automatic Speech Recognition.
Automatic Speech Recognition converts spoken language into text that software can search, analyse or act on. Common applications include live captions, meeting transcripts, voice commands, call-centre analysis and dictation.
ASR is the underlying capability, while speech-to-text APIs provide it as a hosted service. A hosted API can speed up delivery, whereas a self-managed model may offer more control over data, custom vocabulary, cost structure and offline operation.
Automatic Speech Recognition work often connects with audio processing, natural language processing, machine learning operations and cloud infrastructure. Useful adjacent skills include speaker diarisation, punctuation restoration, language identification, data labelling and secure API design.
ASR project needs vary with the audio, languages, latency and compliance requirements. A small integration may need focused API experience, while custom training, noisy recordings or real-time scale call for a specialist who can evaluate models and operate the full pipeline.
Automatic Speech Recognition projects are often suitable for remote collaboration when teams can share representative audio, acceptance tests and system access securely. On-site sessions in Berlin can still help with microphone placement, room acoustics or call-centre equipment.
ASR quality should be measured on recordings that reflect real speakers, accents, noise and terminology. Ask for results covering word error rate, latency, speaker separation and failure cases, then check whether the specialist explains how errors will be monitored and improved.
Whisper can be a strong option for multilingual transcription and projects that need more control than a standard hosted service provides. A professional should still test the relevant audio, assess hardware and latency needs, and compare it with cloud speech services before selecting it.
Automatic Speech Recognition specialists should clarify languages, audio formats, expected response time, transcript accuracy, speaker labels, data retention and deployment constraints. They should also ask whether the work involves model selection, integration, evaluation, custom vocabulary or ongoing production support.
The average hourly rate of freelancers in Berlin, Germany who have used Automatic Speech Recognition in their recent projects is 89 €, which corresponds to a daily rate of about 713 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Automatic Speech Recognition in their recent projects, 100% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Automatic Speech Recognition in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Berlin, Germany who have used Automatic Speech Recognition in their recent projects are German (100%), English (90%), and Spanish (10%).
The most common industries among freelancers in Berlin, Germany who have used Automatic Speech Recognition in their recent projects are Information Technology (90%), Education (60%), and Media and Entertainment (40%).
The most common business areas among freelancers in Berlin, Germany who have used Automatic Speech Recognition in their recent projects are Information Technology (100%), Product Development (70%), and Project Management (70%).
Main locations of FRATCH Experts, who have recently used Automatic Speech Recognition
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Countries:
Berlin 
Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
