title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÑÐµÐ´ÑÑÐ² Ð´Ð¸Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ ÑÐµÑÐ¸ Ð´Ð¸ÐºÑÐ¾ÑÐ¾Ð² Ð´Ð»Ñ ÐºÐ¾ÑÐ¿Ð¾ÑÐ°ÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð´Ð¸Ð°Ð»Ð¾Ð³Ð¾Ð²Ð¾Ð³Ð¾ Ð°ÑÑÐ¸ÑÑÐµÐ½ÑÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of speaker diarization tools for a corporate dialogue assistant
Creators: name: ÐÐ¾ÑÐ¸ÑÐ¾Ð²Ð°, ÐÐ¾Ð»Ð¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð´Ð¸Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ
Ð´Ð¸Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ Ð´Ð¸ÐºÑÐ¾ÑÐ¾Ð²
REST API
Python
diarization
speaker diarization

description: Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÐµÑÑÑ Ð·Ð°Ð´Ð°ÑÐ° Ð´Ð¸Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð´Ð¸ÐºÑÐ¾ÑÐ¾Ð², Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ¸ Ð¾ÑÐµÐ½ÐºÐ¸ ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐ¸ÑÑÐµÐ¼, ÑÐµÑÐ°ÑÑÐ¸Ñ ÑÑÑ Ð·Ð°Ð´Ð°ÑÑ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐ¸Ð²ÐµÐ´ÐµÐ½ Ð¾Ð±Ð·Ð¾Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ ÑÐ¸ÑÑÐµÐ¼ Ñ Ð¾ÑÐºÑÑÑÑÐ¼ Ð¸ÑÑÐ¾Ð´Ð½ÑÐ¼ ÐºÐ¾Ð´Ð¾Ð¼.
Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° REST API ÑÐµÑÐ²Ð¸ÑÐ° Ð´Ð¸Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸, Ð¾ÑÐ¸ÐµÐ½ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð½Ð° ÑÐ°Ð±Ð¾ÑÑ Ñ Ð·Ð°Ð¿Ð¸ÑÑÐ¼Ð¸ ÑÐ¾Ð±ÑÐ°Ð½Ð¸Ð¹. Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ ÑÐµÑÑÐ¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ÑÑ Ð°ÑÐ´Ð¸Ð¾Ð·Ð°Ð¿Ð¸ÑÐ¸ Ð¸ ÑÑÐ°Ð»Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð·Ð¼ÐµÑÐºÐ° ICSI Meeting Corpus.
ÐÑÐ»Ð¾ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ Ð¾Ð±ÑÐµÐµ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ¾Ð², Ð±Ð¾Ð»ÐµÐµ Ð³Ð»ÑÐ±Ð¾ÐºÐ¸Ð¹ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ñ Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ð¸ÐµÐ¼ Ð¾ÑÐµÐ½Ð¾Ðº ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¿Ð¾Ð´ÑÐ¾Ð´ÑÑÐ¸Ñ ÑÐ¸ÑÑÐµÐ¼ (pyAudioAnalysis Ð¸ SphereDiar). Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÐ° Ð²ÑÐµÐ³Ð¾ ÑÐµÑÐ²Ð¸ÑÐ°, ÑÐ¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ñ Ð¸ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ñ API Ð¸ Ð¼Ð¾Ð´ÑÐ»Ñ Ð´Ð»Ñ ÑÐ°Ð±Ð¾ÑÑ Ñ ÑÐ¸ÑÑÐµÐ¼Ð¾Ð¹ Ð´Ð¸Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð½Ð° ÑÐ·ÑÐºÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° Ð±ÑÐ»Ð° Ð¿ÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð° Ð½Ð° Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ðµ Ð·Ð°Ð´Ð°Ð½Ð½ÑÑ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸Ð¹, Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ñ Ð¾ÑÐµÐ½ÐºÐ¸ ÐµÐµ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¸ ÑÐ¾ÑÑÐ°Ð²Ð»ÐµÐ½ Ð¾ÑÑÐµÑ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð².
Ð ÐµÐ·ÑÐ»ÑÑÐ°Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÑÐµÑ ÑÐ¾Ð±Ð¾Ð¹ ÑÐµÑÐµÐ½Ð¸Ðµ, ÐºÐ¾ÑÐ¾ÑÐ¾Ðµ Ð¼Ð¾Ð¶Ð½Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑ Ð² ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð²Ð½ÐµÑÐ½ÐµÐ¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð´Ð¸Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ Ð¾ÑÐ½Ð¾ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾ Ð¾ÑÐ½Ð¾Ð²Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¾ÐµÐºÑÐ°. ÐÐ°Ð¿ÑÐ¸Ð¼ÐµÑ, ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ ÑÐµÑÐ¸ Ð¿ÑÐ¸ Ð¿ÑÐ¾ÑÐ¾ÐºÐ¾Ð»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ð¸ ÑÐ¾Ð±ÑÐ°Ð½Ð¸Ð¹. ÐÑÐ¾Ð³Ð¾Ð²ÑÐ¹ Ð¿ÑÐ¾Ð´ÑÐºÑ Ð½Ð°ÑÐ¾Ð´Ð¸ÑÑÑ Ð² Ð¾Ð±ÑÐµÐ¼ Ð´Ð¾ÑÑÑÐ¿Ðµ Ð¸ ÑÐ°Ð·Ð²ÐµÑÐ½ÑÑÑ Ð´Ð°Ð½Ð½Ð¾Ðµ ÑÐµÑÐµÐ½Ð¸Ðµ Ð¼Ð¾Ð¶Ð½Ð¾ Ð½Ð° ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½ÑÑ ÑÐµÑÑÑÑÐ°Ñ.
description: In this paper, we consider the task of speaker diarization, methods for assessing the quality of systems that solve this problem, and also provide an overview of existing open source systems.
The objective of the work is to develop a diarization service with REST API, oriented to work with meeting records. As test data, audio recordings and reference transcriptions of ICSI Meeting Corpus were used.
A general comparison of existing tools was carried out, a deeper comparative analysis with the calculation of the quality ratings of suitable systems (pyAudioAnalysis and SphereDiar). The architecture of the entire service is developed, the API and the module for working with the diarization system in the Python programming language are designed and implemented. The developed system was tested to meet the specified requirements, estimates of its quality were calculated and a report of the results was compiled.
The result of this work is a solution that can be used as an external diarization system relative to the main project. For example, speech recognition systems for the meeting logging. The final product is in the public domain and you can deploy this solution on your own resources.