Azure Speech Services Integration for Speech Recognition

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
Showing 1 of 1 servicesAll 1566 services
Azure Speech Services Integration for Speech Recognition
Simple
from 1 business day to 3 business days
FAQ
AI Development Areas
AI Solution Development Stages
Latest works
  • image_website-b2b-advance_0.png
    B2B ADVANCE company website development
    1212
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1161
  • image_websites_belfingroup_462_0.webp
    Website development for BELFINGROUP
    852
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1041
  • image_logo-advance_0.png
    B2B Advance company logo design
    561
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    822

Azure Speech Services integration for speech recognition. Azure Cognitive Services Speech is a Microsoft enterprise solution with data centers in Russia (until 2022), Germany, and other regions. Support for 100+ languages, HIPAA compliance, and a 99.9% SLA. ### Key features: Custom Speech: custom training for a corporate vocabulary without ML expertise. - Diarrhization (up to 20 speakers in Azure Speech). - Streaming recognition with 150–300 ms latency. - Batch transcription via the REST API for large volumes. ### SDK integration.

import azure.cognitiveservices.speech as speechsdk

speech_config = speechsdk.SpeechConfig(
    subscription=os.environ["AZURE_SPEECH_KEY"],
    region="westeurope"
)
speech_config.speech_recognition_language = "ru-RU"
speech_config.enable_dictation()

audio_config = speechsdk.AudioConfig(filename="audio.wav")
recognizer = speechsdk.SpeechRecognizer(
    speech_config=speech_config,
    audio_config=audio_config
)

result = recognizer.recognize_once_async().get()
```### Custom Speech Domain data upload via Azure Portal: adding text data (for the language model) and audio and transcriptions (for the acoustic model). With 10 hours of data, WER improves by 20–35% on the target domain. Cost: $1/hour of audio for standard transcription, Custom Speech endpoint — $1.42/hour of endpoint operation. Integration time: 1–2 days (SDK), 3–5 days with Custom Speech.