Sevana AQuA - Your powerful tool for perceptual voice and audio quality analysis:
? Quick and easy setup up of end-to-end voice quality testing
? Reliable objective MOS score
? Comprehensive waveform analysis
Powerful tool to non-intrusively evaluate
voice quality. Quick and easy setup up of single-ended
voice quality testing. Objective MOS score prediction. Call quality impairments detection.
This document summarizes a seminar on Bluetooth technology. Bluetooth allows for short-range wireless communication between various smart devices. It uses frequency hopping across 79 channels from 2.4-2.4835 GHz to mitigate interference. Bluetooth enables automatic synchronization and connection to the internet between mobile and stationary devices without cables. Security is provided through encryption and coordinated encryption keys. While Bluetooth provides low-power and low-cost connectivity, wireless LANs offer faster speeds and larger ranges.
Security issues and solution in wireless sensor networksJahan Zeb Xebi
?
Wireless sensor networks allow for spatially distributed sensors to cooperatively monitor environmental conditions through wireless communication. They consist of small sensor nodes that have limited resources but can self-organize into multi-hop networks. Each sensor node contains transducers that convert physical phenomena into electrical signals, as well as a processor, memory, transceiver, and power supply. These networks must be designed to operate under power, scalability, fault tolerance, and environmental constraints. Potential applications include environmental monitoring, healthcare, smart homes/offices, and military/automotive uses. Security challenges include attacks that interfere with communication or allow unauthorized access to sensor nodes.
Sevana QualTest is a mobile test probe application which checks current network conditions and estimates voice quality in mobile networks. QualTest is a mobile application for Android
powered devices that can work in both VoIP and cellular networks.
Sevana PVQA Server is a multipurpose tool for call quality analysis. One can use it as core of their quality analysis and monitoring system to detect and investigate QoE and QoS related issues. PVQA server combines the force of audio waveform analysis using PVQA technology with continuous network monitoring.
SoundCheck is a Windows-based system for testing headphones and headphone amplifiers. It allows for high-speed production testing, research and development, and quality control. Tests can be performed in under 3 seconds and include frequency response, distortion, impedance, and more. SoundCheck integrates with production lines through barcodes and I/O devices. It also provides flexible tools for R&D, including custom test signals and virtual instruments.
AQuA is a tool that uses a model of human hearing to analyze voice signals and make estimates about call quality and the end user's perceived quality. It allows testing of voice quality over different networks and conditions. Sevana provides AQuA with technical support and it can be deployed flexibly as an application, library, or service. AQuA helps monitor quality of services and identify reasons for audio quality issues.
This document is a user manual for Sevana AQuA - Audio Quality Analyzer 8.x. It introduces AQuA as a tool for intrusive perceptual voice quality analysis that allows comparing two audio files and testing voice quality loss between a reference and degraded file. The manual describes AQuA's functionality, requirements, testing parameters, scientific background, perceptual modeling, command line usage, and provides examples of comparing audio files and analyzing reasons for voice quality loss.
QualTest mobile test probe for VoIP and mobile call testing and monitoringSevana O¨¹
?
Sevana QualTest is a mobile test probe application that checks
current network conditions and estimates voice quality in mobile and VoIP networks
The platform is designed for end-to-end and single-end call testing, as well as for gathering and analyzing call audio quality metrics. Measure network metrics for VoIP calls and use waveform analysis to correlate audio problems with network conditions.
Real-time monitoring of 5G network. Reliable MOS and other KPIs for messenger-to-messenger and voice calls. Automated mobile-to-mobile testing in 5G networks. Flexible integration and drive testing.
This utility calculates MOS scores for audio streams in .pcap files, optionally decoding the audio to .wav files. It runs on Linux, macOS, and OpenWRT, requires no database, and supports several common codecs. The user provides a .pcap file path and can choose json output or audio saving. The utility then extracts and analyzes RTP streams, calculating MOS scores and statistics and printing the results.
This document discusses using Sevana tools to test call quality between mobile devices using Skype. Specifically, it proposes a demonstration of a Skype-to-Skype call quality test using regular Android Skype apps on mobile phones. The test would record call audio and analyze it using Sevana's AQUA and PVQA tools to generate MOS scores and other quality metrics. It outlines the typical test setup and flow, including host machine, mobile phone, cable adapter, and test management via a backend server.
Administration manual for Sevana Voice Quality Monitoring solution based on Asterisk PBX. This solutions makes end-to-end voice quality testing and monitoring easy. Various test scenarios for echo or conference birdge testing are already included. AQuA and PVQA impairments analysis together with full VoIP statistics make it suitable for use in any type of network.
Integrate QualTest GSM with desktop or Raspberry Pi. Application receives notification from QualTest test probes about call events, copies recorded calls to desktop, limits time of call, runs pvqa and aqua utilities to estimate voice quality.
Hardware requirements.
QualTest GSM is an Android application that turns your mobile phone into mobile test probe that can make mobile-to-mobile test calls returing AQuA and PVQA call quality metrics including MOS score and audio impairments information.
The document discusses a mobile-to-mobile call quality testing automation solution called Sevana QualTest. It allows for unlimited automated mobile-to-mobile tests without human involvement, saving time compared to manual testing. Key features include active and passive call quality tests using non-rooted Android phones, test result uploads and sharing, and compatibility with all operating systems. Potential use cases include 5G and other mobile network testing, service assurance through quality monitoring, and RAN optimization to improve quality management while reducing call quality testing costs through automation.
Sevana real-time rtp analysis for mobile operatorsSevana O¨¹
?
The document describes Sevana's real-time RTP analysis solution for mobile networks. The solution provides call quality monitoring through metrics like MOS and detection of impairments. It allows analysis of call quality for different carriers to evaluate performance, select partners, and identify issues. The solution integrates with existing systems and provides real-time quality monitoring to help optimize networks and prevent churn.
Real time call quality analysis for mobile operatorsSevana O¨¹
?
Real waveform analysis for mobile service and solution providers to easily enable:
- Silent call detection
- Audio impairments patterns analysis
- Problem root cause detection
- Fraud detection
- Customized RTP stream interaction
The document describes a real-time RTP call quality monitoring solution using waveform analysis that provides several benefits:
It allows service providers to efficiently manage voice/audio quality in a non-intrusive way based on analyzing the actual media content. This can save on operating expenses by reducing unnecessary payments to partners and prevent revenue loss from customer churn due to poor call quality. The solution provides reliable objective quality metrics and insight into the root causes of quality issues to help justify infrastructure investments. It has high performance and scalability to handle thousands of simultaneous calls through an asynchronous architecture utilizing multiple CPU cores.
This document contains the user manual for Sevana AQuA - Audio Quality Analyzer 7.x. It describes the functionality, requirements, and parameters for using AQuA to compare wav files and test voice quality. Key features include comparing reference files to degraded files, reporting quality scores, analyzing reasons for quality loss, and visualizing signal spectrums. The document also provides details on AQuA's command line parameters and examples of usage.
This document discusses objective quality measurement tools for evaluating voice quality over mobile networks.
It introduces AQuA, an artificial intelligence-based tool that provides more accurate quality scores than PESQ and POLQA by considering factors like codecs, technologies, impairments and languages.
AQuA and PVQA can analyze drive test recordings to generate MOS scores and identify issues like packet loss, hardware problems or network impairments that caused quality degradation.
Tables compare features of PESQ, POLQA and AQuA, showing AQuA can evaluate all audio types and technologies more comprehensively than the other tools.
This document discusses objective quality measurement tools for evaluating voice quality over mobile networks.
It introduces AQuA, an artificial intelligence-based tool that provides more accurate quality scores than PESQ and POLQA by considering factors like codecs, technologies, impairments and languages.
AQuA and PVQA can analyze drive test recordings to generate MOS scores and identify issues like packet loss, hardware problems or network impairments that caused quality degradation.
Tables compare features of PESQ, POLQA and AQuA, showing AQuA evaluates more factors like long calls, stereo audio and custom models, making it best for evaluating VoLTE, VoWiFi and RCS quality during network deployment and operation
AQuA is a tool that uses a model of human hearing to analyze voice signals and make estimates about call quality and the end user's perceived quality. It allows testing of voice quality over different networks and conditions. Sevana provides AQuA with technical support and it can be deployed flexibly as an application, library, or service. AQuA helps monitor quality of services and identify reasons for audio quality issues.
FinTech - US Annual Funding Report - 2024.pptxTracxn
?
US FinTech 2024, offering a comprehensive analysis of key trends, funding activities, and top-performing sectors that shaped the FinTech ecosystem in the US 2024. The report delivers detailed data and insights into the region's funding landscape and other developments. We believe this report will provide you with valuable insights to understand the evolving market dynamics.
This document is a user manual for Sevana AQuA - Audio Quality Analyzer 8.x. It introduces AQuA as a tool for intrusive perceptual voice quality analysis that allows comparing two audio files and testing voice quality loss between a reference and degraded file. The manual describes AQuA's functionality, requirements, testing parameters, scientific background, perceptual modeling, command line usage, and provides examples of comparing audio files and analyzing reasons for voice quality loss.
QualTest mobile test probe for VoIP and mobile call testing and monitoringSevana O¨¹
?
Sevana QualTest is a mobile test probe application that checks
current network conditions and estimates voice quality in mobile and VoIP networks
The platform is designed for end-to-end and single-end call testing, as well as for gathering and analyzing call audio quality metrics. Measure network metrics for VoIP calls and use waveform analysis to correlate audio problems with network conditions.
Real-time monitoring of 5G network. Reliable MOS and other KPIs for messenger-to-messenger and voice calls. Automated mobile-to-mobile testing in 5G networks. Flexible integration and drive testing.
This utility calculates MOS scores for audio streams in .pcap files, optionally decoding the audio to .wav files. It runs on Linux, macOS, and OpenWRT, requires no database, and supports several common codecs. The user provides a .pcap file path and can choose json output or audio saving. The utility then extracts and analyzes RTP streams, calculating MOS scores and statistics and printing the results.
This document discusses using Sevana tools to test call quality between mobile devices using Skype. Specifically, it proposes a demonstration of a Skype-to-Skype call quality test using regular Android Skype apps on mobile phones. The test would record call audio and analyze it using Sevana's AQUA and PVQA tools to generate MOS scores and other quality metrics. It outlines the typical test setup and flow, including host machine, mobile phone, cable adapter, and test management via a backend server.
Administration manual for Sevana Voice Quality Monitoring solution based on Asterisk PBX. This solutions makes end-to-end voice quality testing and monitoring easy. Various test scenarios for echo or conference birdge testing are already included. AQuA and PVQA impairments analysis together with full VoIP statistics make it suitable for use in any type of network.
Integrate QualTest GSM with desktop or Raspberry Pi. Application receives notification from QualTest test probes about call events, copies recorded calls to desktop, limits time of call, runs pvqa and aqua utilities to estimate voice quality.
Hardware requirements.
QualTest GSM is an Android application that turns your mobile phone into mobile test probe that can make mobile-to-mobile test calls returing AQuA and PVQA call quality metrics including MOS score and audio impairments information.
The document discusses a mobile-to-mobile call quality testing automation solution called Sevana QualTest. It allows for unlimited automated mobile-to-mobile tests without human involvement, saving time compared to manual testing. Key features include active and passive call quality tests using non-rooted Android phones, test result uploads and sharing, and compatibility with all operating systems. Potential use cases include 5G and other mobile network testing, service assurance through quality monitoring, and RAN optimization to improve quality management while reducing call quality testing costs through automation.
Sevana real-time rtp analysis for mobile operatorsSevana O¨¹
?
The document describes Sevana's real-time RTP analysis solution for mobile networks. The solution provides call quality monitoring through metrics like MOS and detection of impairments. It allows analysis of call quality for different carriers to evaluate performance, select partners, and identify issues. The solution integrates with existing systems and provides real-time quality monitoring to help optimize networks and prevent churn.
Real time call quality analysis for mobile operatorsSevana O¨¹
?
Real waveform analysis for mobile service and solution providers to easily enable:
- Silent call detection
- Audio impairments patterns analysis
- Problem root cause detection
- Fraud detection
- Customized RTP stream interaction
The document describes a real-time RTP call quality monitoring solution using waveform analysis that provides several benefits:
It allows service providers to efficiently manage voice/audio quality in a non-intrusive way based on analyzing the actual media content. This can save on operating expenses by reducing unnecessary payments to partners and prevent revenue loss from customer churn due to poor call quality. The solution provides reliable objective quality metrics and insight into the root causes of quality issues to help justify infrastructure investments. It has high performance and scalability to handle thousands of simultaneous calls through an asynchronous architecture utilizing multiple CPU cores.
This document contains the user manual for Sevana AQuA - Audio Quality Analyzer 7.x. It describes the functionality, requirements, and parameters for using AQuA to compare wav files and test voice quality. Key features include comparing reference files to degraded files, reporting quality scores, analyzing reasons for quality loss, and visualizing signal spectrums. The document also provides details on AQuA's command line parameters and examples of usage.
This document discusses objective quality measurement tools for evaluating voice quality over mobile networks.
It introduces AQuA, an artificial intelligence-based tool that provides more accurate quality scores than PESQ and POLQA by considering factors like codecs, technologies, impairments and languages.
AQuA and PVQA can analyze drive test recordings to generate MOS scores and identify issues like packet loss, hardware problems or network impairments that caused quality degradation.
Tables compare features of PESQ, POLQA and AQuA, showing AQuA can evaluate all audio types and technologies more comprehensively than the other tools.
This document discusses objective quality measurement tools for evaluating voice quality over mobile networks.
It introduces AQuA, an artificial intelligence-based tool that provides more accurate quality scores than PESQ and POLQA by considering factors like codecs, technologies, impairments and languages.
AQuA and PVQA can analyze drive test recordings to generate MOS scores and identify issues like packet loss, hardware problems or network impairments that caused quality degradation.
Tables compare features of PESQ, POLQA and AQuA, showing AQuA evaluates more factors like long calls, stereo audio and custom models, making it best for evaluating VoLTE, VoWiFi and RCS quality during network deployment and operation
AQuA is a tool that uses a model of human hearing to analyze voice signals and make estimates about call quality and the end user's perceived quality. It allows testing of voice quality over different networks and conditions. Sevana provides AQuA with technical support and it can be deployed flexibly as an application, library, or service. AQuA helps monitor quality of services and identify reasons for audio quality issues.
FinTech - US Annual Funding Report - 2024.pptxTracxn
?
US FinTech 2024, offering a comprehensive analysis of key trends, funding activities, and top-performing sectors that shaped the FinTech ecosystem in the US 2024. The report delivers detailed data and insights into the region's funding landscape and other developments. We believe this report will provide you with valuable insights to understand the evolving market dynamics.
Field Device Management Market Report 2030 - TechSci ResearchVipin Mishra
?
The Global Field Device Management (FDM) Market is expected to experience significant growth in the forecast period from 2026 to 2030, driven by the integration of advanced technologies aimed at improving industrial operations.
? According to TechSci Research, the Global Field Device Management Market was valued at USD 1,506.34 million in 2023 and is anticipated to grow at a CAGR of 6.72% through 2030. FDM plays a vital role in the centralized oversight and optimization of industrial field devices, including sensors, actuators, and controllers.
Key tasks managed under FDM include:
Configuration
Monitoring
Diagnostics
Maintenance
Performance optimization
FDM solutions offer a comprehensive platform for real-time data collection, analysis, and decision-making, enabling:
Proactive maintenance
Predictive analytics
Remote monitoring
By streamlining operations and ensuring compliance, FDM enhances operational efficiency, reduces downtime, and improves asset reliability, ultimately leading to greater performance in industrial processes. FDM¡¯s emphasis on predictive maintenance is particularly important in ensuring the long-term sustainability and success of industrial operations.
For more information, explore the full report: https://shorturl.at/EJnzR
Major companies operating in Global?Field Device Management Market are:
General Electric Co
Siemens AG
ABB Ltd
Emerson Electric Co
Aveva Group Ltd
Schneider Electric SE
STMicroelectronics Inc
Techno Systems Inc
Semiconductor Components Industries LLC
International Business Machines Corporation (IBM)
#FieldDeviceManagement #IndustrialAutomation #PredictiveMaintenance #TechInnovation #IndustrialEfficiency #RemoteMonitoring #TechAdvancements #MarketGrowth #OperationalExcellence #SensorsAndActuators
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Technology use over time and its impact on consumers and businesses.pptxkaylagaze
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In this presentation, I explore how technology has changed consumer behaviour and its impact on consumers and businesses. I will focus on internet access, digital devices, how customers search for information and what they buy online, video consumption, and lastly consumer trends.
Transform Your Future with Front-End Development TrainingVtechlabs
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Kickstart your career in web development with our front-end web development course in Vadodara. Learn HTML, CSS, JavaScript, React, and more through hands-on projects and expert mentorship. Our front-end development course with placement includes real-world training, mock interviews, and job assistance to help you secure top roles like Front-End Developer, UI/UX Developer, and Web Designer.
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UiPath Document Understanding - Generative AI and Active learning capabilitiesDianaGray10
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This session focus on Generative AI features and Active learning modern experience with Document understanding.
Topics Covered:
Overview of Document Understanding
How Generative Annotation works?
What is Generative Classification?
How to use Generative Extraction activities?
What is Generative Validation?
How Active learning modern experience accelerate model training?
Q/A
? If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates.
Gojek Clone is a versatile multi-service super app that offers ride-hailing, food delivery, payment services, and more, providing a seamless experience for users and businesses alike on a single platform.
30B Images and Counting: Scaling Canva's Content-Understanding Pipelines by K...ScyllaDB
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Scaling content understanding for billions of images is no easy feat. This talk dives into building extreme label classification models, balancing accuracy & speed, and optimizing ML pipelines for scale. You'll learn new ways to tackle real-time performance challenges in massive data environments.
[Webinar] Scaling Made Simple: Getting Started with No-Code Web AppsSafe Software
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Ready to simplify workflow sharing across your organization without diving into complex coding? With FME Flow Apps, you can build no-code web apps that make your data work harder for you ¡ª fast.
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Build and deploy Workspace Apps to create an intuitive user interface for self-serve data processing and validation.
Automate processes using Automation Apps. Learn to create a no-code web app to kick off workflows tailored to your needs, trigger multiple workspaces and external actions, and use conditional filtering within automations to control your workflows.
Create a centralized portal with Gallery Apps to share a collection of no-code web apps across your organization.
Through real-world examples and practical demos, you¡¯ll learn how to transform your workflows into intuitive, self-serve solutions that empower your team and save you time. We can¡¯t wait to show you what¡¯s possible!
The Future of Repair: Transparent and Incremental by Botond De?nesScyllaDB
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Regularly run repairs are essential to keep clusters healthy, yet having a good repair schedule is more challenging than it should be. Repairs often take a long time, preventing running them often. This has an impact on data consistency and also limits the usefulness of the new repair based tombstone garbage collection. We want to address these challenges by making repairs incremental and allowing for automatic repair scheduling, without relying on external tools.
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Formal Methods: Whence and Whither? [Martin Fr?nzle Festkolloquium, 2025]Jonathan Bowen
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Alan Turing arguably wrote the first paper on formal methods 75 years ago. Since then, there have been claims and counterclaims about formal methods. Tool development has been slow but aided by Moore¡¯s Law with the increasing power of computers. Although formal methods are not widespread in practical usage at a heavyweight level, their influence as crept into software engineering practice to the extent that they are no longer necessarily called formal methods in their use. In addition, in areas where safety and security are important, with the increasing use of computers in such applications, formal methods are a viable way to improve the reliability of such software-based systems. Their use in hardware where a mistake can be very costly is also important. This talk explores the journey of formal methods to the present day and speculates on future directions.
Formal Methods: Whence and Whither? [Martin Fr?nzle Festkolloquium, 2025]Jonathan Bowen
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Sevana AQuA (Audio Quality Analyzer)
1. AUDIO
QUALITY ANALYZER
AQuA
Roosikrantsi tn 2, Tallinna linn,
Harju maakond, 10119
Estonia
info@sevana.biz
+3726170331
Sevana O¨¹
? Powerful tool for perceptual voice and audio quality analysis
? Quick and easy setup up of end-to-end voice quality testing
? Reliable objective MOS score
? Comprehensive waveform analysis
Available for Windows, Linux, Android.
UTILIZED BY:
? Mobile operators
? Telecom service providers
? 3G, 4G/LTE test and measurement
? Language independent
? Works with short audio (starting from 2s)
? Works with long audio (longer than 30s)
? Supports all sampling rates (narrowband,
wideband, superwideband)
? Works with stereo audio
? Perceptual model parameters pro?ling
SUITABLE FOR:
? Mobile networks drive testing
? Uni?ed communications call quality monitoring
? Player communications analysis in gaming
? IVR testing
? Load testing
FEATURES