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We’re proud to announce our debut ‘Blockbuster’ sponsorship of Gamma’s 2022 Roadshow, ‘Gamma at the Movies’. This year’s theme is, ‘Mission Possible: Making new markets’.

Dubber is changing the economics of legacy on-premise call recording, opening up new opportunities for revenue growth, customer retention and product innovation with the Unified Call Recording and Voice Intelligence platform.

We’re excited to showcase the Dubber solution to Gamma channel partners up and down the country in June and showcase how they can start to 2X the value of every deal with compliant cloud-based conversational recording and voice AI.

• Tues 14th June – Vue, Glasgow Fort, Glasgow
• Wed 15th June – Vue, Salford Quays, Manchester
• Tues 21st June – Cineworld, NEC, Birmingham
• Wed 22nd June – Vue, Cribbs Causeway, Bristol
• Tues 28th June – IMAX, Waterloo, London

Innovate your UC offering and increase your ARPU today with Dubber – see you at the show!

Who said what? Dual-stream recording on MS Teams is a way to end not knowing – critical for hitting compliance mandates within organisations. When dual-stream recording is switched on, call recording quality goes up.

Benefit: More accurate transcriptions, leading to better conversational intelligence insights

Benefit: Discrete record of who said what, even when both parties are talking at once

When a conversation happens on Microsoft Teams – whether it is a Teams-native platform conversation, or an Operator Connect call via Microsoft Teams Calling with PSTN integration – dual-stream recording can be your default option with Dubber.

How dual-stream recording for Microsoft Teams works on Dubber

Dubber’s dual-stream recording on Microsoft Teams records two audio separate streams – one for the host, one for the participant – in stereo recording. 

On calls with more than two participants, the host speaker is recorded on one channel, with the other participants on the second channel.

In Dubber transcripts, the recording is then broken down to show the host as Speaker One (Left) and the participant as Speaker Two (Right). This also aids in transcription accuracy. When replaying recordings in their audio form, the host or speaker one will be reflected in the left headset channel and the participant or speaker two will be reflected in the right headset channel.

Why dual-stream recording is critical for compliance

In compliance activities, it is imperative that internal speakers’ words are captured succinctly, and always extracted as that person. Speaker identification through AI, such as in our Notes by Dubber application, is a handy tool, however for absolute knowledge of who said what, without the chance of misidentification, a dual-stream capture provides immutable proof. This also eliminates cross-talk, which can confound understanding and recall.

Example case: ASIC’s Best Interests Duty RG 273 obligations

Under ASIC’s Best Interests Duty RG 273 obligations, mortgage brokers must be acting in the best interests of the customer at all times. With Dubber, dual-stream recording can ensure the broker’s conversations are recorded and transcribed with full attribution and separation, plus stored and recalled for as long as is necessary.

Example case: FINRA Rule 3110. Supervision

Under FINRA Rule 3110, a system must be set up to supervise associated persons for compliance with applicable securities laws and regulations. This includes “review of securities transactions that are reasonably designed to identify trades that may violate the provisions of the Exchange Act, the rules thereunder, or FINRA rules prohibiting insider trading and manipulative and deceptive device.” By using Dubber’s dual-stream recording, this makes it easy to instantly review and recall conversations, even based on keywords or particular people.

Try dual-stream recording on Microsoft Teams to meet compliance mandates

Dual-stream recording is available now on MS Teams. Head to Microsoft’s AppSouce to get Dubber Unified Call Recording for Microsoft Teams or download our guide: How to ensure compliance on Microsoft Teams.

5G is here and the opportunities for generating growth on provider networks are immense. As a new study by Juniper Research suggests, “revenue generated from 5G services will reach $600 billion by 2026; representing 77% of global operator-billed revenue.”

The study highlights multi-device subscriptions as a critical focus, and points to an increasing explosion of devices and data communications.

Another driver of 5G services is the need for organisations to effectively communicate and collaborate under a now pervasive hybrid work model, where “AI & ML was surveyed to be the #1 enabling transformative technology.”

Where can communications service providers expect to see new opportunities?

The possibilities of 5G mean far lower latency, and higher throughput on networks. What this means is that applications running on 5G can be far richer in experience for users than what’s possible on 4G.

A big component of this will be collaborative work across the globe – across voice, video, and chat, with apps that can support AR and intelligence overlays. How, when, where, and why we communicate in our business and personal lives will be key.

“93% of business leaders agree that communication is the backbone of business” – The State of Business Communication, Grammarly

If every major communications service provider has 5G, and needs to charge more to support this investment, the question remains: “How do we create differentiated services that not only demonstrate the power of 5G but also drive switching and adoption?”

Boosting ARPU with conversational intelligence

“Flat/declining ARPU is making it more important than ever that CSPs target their network investments in areas with the highest potential for sustainable growth and optimal return on investment (ROI).” – Planning today for the networks – and revenue opportunities – of tomorrow, Infovista

“For service providers, this marks a critical turning point in translating the power of the data coursing through networks to true value – both in ARPU and for their customers.”
– James Slaney, COO, Dubber

Dubber’s network-embedded conversational intelligence capabilities that analyze and give insights across voice, video, and chat, make it an unparalleled opportunity to help organisations do hybrid work effectively on 5G.

Service providers have unprecedented data flowing in the content on their networks – and it’s largely untapped. 5G will result in an exponential data explosion and it’s up to service providers to capitalise on the value of that data.

A crucial key to unlocking the value of data on 5G is in transforming conversations on voice and unified communications services into data. Notes by Dubber does just this – driving revenue, retention, and differentiation. Unlike many applications built purely for end-users, Notes By Dubber starts as a core network service – instantly embeddable and scaleable.

Get in touch to learn more about how putting Dubber on your voice, video, and chat offerings can help deliver ROI on your 5G investments.

“The Pandemic has forever changed the trajectory of the work environment. CxOs understand this but culture, processes and technology are not yet mature enough to meet the expectations of today’s workforce.” 

– 2022 Future of Work Study, Incisiv

Corporate culture is an intrinsic part of every business. When caring and order reign, and teamwork, trust, and respect are present, the workplace thrives. When company culture starts going south, employee engagement, loyalty, and retention rates go down, and conflict goes up. It’s a slippery slope, and many businesses have found it difficult to maintain a strong corporate culture in the shift to hybrid work.

Sustaining company culture is one of the top challenges facing businesses today in the shift to hybrid work. Why? Because distance and lack of modernised technology have caused friction in the workplace, which has led to a decline in satisfaction with company culture overall.

“Only 56% of C-suite executives believe they have been able to sustain their organization’s culture while working in a distributed working model”

– 2022 Future of Work Study, Incisiv

Service providers can help bridge the gap that has emerged in company culture by offering solutions that monitor and assess employee wellbeing across distance.

“Companies with strong culture achieve three times higher total return to shareholders than others.” – McKinsey, 2020

Dubber’s conversational analytics empowers businesses to bridge this gap – with insights into employee engagement, satisfaction, and connection collectively across the enterprise, as well as drilling down to the team or individual level. It’s a chance to put an end to not knowing. It’s also a chance to rebuild corporate culture to fit a hybrid work model, utilising the resources you already have to inform decision making. Dubber unifies conversations across all endpoints on phone, mobile, and Unified Communications platforms such as MS Teams, Cisco Webex, and Zoom for the full picture.

How conversational intelligence boosts company culture in hybrid work

• Know your people and teams with real-time sentiment analytics – by meeting, team or company-wide, whether in-person or online
• Replay, share and evidence crucial conversations to coach and resolve interpersonal issues based on exactly what was said in remote meetings
• Reduce meeting overload and burnout by enabling team members to quickly surface the parts of meetings relevant to them without having to attend the meeting
• Discover when teams are not communicating enough, to re-evaluate and reignite modern team-building practices

Service providers can enable their customers by offering Dubber as an essential service alongside their remote communications tool stack. Ask us how Dubber can help double your revenue on every endpoint.

Melbourne, Australia – 4 May 2022 — Dubber Corporation Limited (ASX: DUB) (Dubber) is pleased to announce that it has been awarded “Cloud Technology Supplier of the Year” by CommsDay, at the CommsDay Summit in Sydney today.

The CommsDay Summit is Australia’s peak service provider event, drawing over 300 delegates and speakers from the service provider industry and government. The summit returned to an in person event this year after a two-year hiatus due to the Covid-19 pandemic. Keynote speakers focussed largely on dynamic industry transition and presentations were provided by Dubber CEO Steve McGovern along with Federal Communications Minister Paul Fletcher, Shadow Communications Minister Michelle Rowland, ACCC commissioner Anna Brakey, TPG Telecom CEO Inaki Berroeta, Vocus CEO Kevin Russell and other key industry executives.

Steve McGovern, CEO, Dubber: “We are delighted to have been selected as the Best Cloud Technology Supplier by CommsDay’s Edison Awards. This award is further recognition of Dubber’s role as a truly global platform that is helping service providers and cloud communications platforms transform the way they think about, and deliver, their services. With leading service providers globally utilizing the Dubber platform, we believe we are uniquely placed to be able to help carriers add value to their network offerings in a completely new way, by taking advantage of the content and conversations that are traversing their networks.”

Dubber’s cloud-native recording and intelligence solution is built to be embedded in telecommunications networks and unified communications solutions globally, unlocking the potential in every conversation with AI-enriched conversational data. The Dubber platform has been adopted by over 170 service providers globally including Telstra, Optus, AT&T and BT.

Grahame Lynch, CommsDay Founder: “Dubber has emerged as a truly underappreciated national treasure: developing an Australian designed call recording cloud solution and successfully exporting that to 170 service providers across the entire world. They are an amazing success story.”

About Dubber:

Dubber is unlocking the potential of voice data from any call or conversation directly from the network. Dubber is the world’s most scalable Unified Call Recording service and Voice Intelligence Cloud adopted as core network infrastructure by multiple global leading telecommunications carriers in North America, Europe and Asia Pacific. Dubber allows service providers to offer recording from virtually any source – turning them into AI-enriched insights for compliance, revenue, customer and people intelligence. Dubber is a disruptive innovator in the multi-billion-dollar call recording industry. Its Software as a Service offering removes the need for on-premise hardware, applications or costly and limited storage.

For more information, please contact:

Investors:
Simon Hinsley
simon.hinsley@dubber.net
+61 (0) 401 809 653

ANZ Media
Terry Alberstein
terry@navigatecommunication.com.au
+61 (0) 458 484 921

EMEA Media
Annabel Clementson
annabel@wearetfd.com
+44 7951 786435

Read the transcript

Dubber Corporation Limited (ASX: DUB) (‘Dubber’ or ‘the Company’), the leading global Unified Call Recording & Voice Intelligence cloud platform which provides innovative world leading products directly via Service Provider networks, today released its report on the Company’s operating activities along with the Appendix 4C for the quarter ended 31 March 2022.

Highlights within the Quarter:

• ARR increased by $5.1m QoQ to $55.1m (62% pcp)
• Revenue for 12 months to March 2022 was $33.7m consistent with reported ARR at March 2021
• Revenue increased by $900,000 QoQ to $9.25m (40% pcp)
• Cash receipts increased by $2.9m QoQ to $8.5m
• Net cash outflows decreased by $7.1m
• Dubber subscribers exceed 540,000
• Launch of Notes by Dubber at Mobile World Congress
• Finalised multiple network UCR agreement with TDC Nuuday of Denmark
• Established core infrastructure for acceleration of future growth
• Dubber is fully funded with in excess of $97.5m cash on hand

Iain McCowan, Director of AI at Dubber on Natural Language Processing, speech recognition and how to overcome the issue of bias in this technology

Natural Language Processing (NLP) is a specific type of AI technology that allows computers to comprehend text and speech, similarly to how a human would.

The practical implications and benefits of this technology are significant to business success. Now, computers are able to process, analyse and understand a wealth of information, not just from written text sources like libraries or the internet, but also from spoken conversations such as business meetings. With this, for example, organisations can have meetings automatically transcribed, saving a huge amount of time and money.

Some examples of how the application of NLP – specifically in – can help a business succeed are through:Looking specifically at speech-to-text and analysis, there is a number of applications where this type of technology can support businesses.

NLP can analyse the sentiment in customer conversations in real-time, alerting managers to potential conflicts requiring assistance, or suggesting to the operator a different script to follow. It can also gather the most important or impactful topics and themes raised in a meeting and turn them into meeting minutes, including action items.

With the ability to gauge employee engagement in particular projects, the technology can either support staff who are less engaged or offer enablement to those most engaged.

Finally, by determining customer interest levels in different brands, products or services during conversations, businesses can gain market insight through the analysis of speech. Despite these significant benefits, one key issue with this technology is bias. To learn more, we spoke to Iain McCowan, Director of AI at Dubber who shared his insight.

Why are there issues of bias in NLP and speech recognition? How does it occur?

Modern NLP models are trained on large datasets, so ultimately most bias comes from any bias inherent in the dataset. With the USA being the most significant economy, and the place where many recent NLP technologies have been birthed, historically, there have been significantly more language resources for US English than any other language or dialect. This has meant that most speech and language technologies, to this day, still provide the best accuracy and richest features for US English users. Another bias factor that may be present in data is historical bias, in which older training datasets may reflect outdated society stereotypes or biases.

In recent years, the bias from training data has been addressed through two main approaches:

1. Collecting and improving the availability of more varied and up to date language datasets. An example of this is the Common Voice project by Mozilla.
2. Focusing research on methods that improve performance for low resource languages, such as so-called self-supervised learning to pre-train NLP models that can be used for a range of end tasks without needing large annotated datasets. This makes it easier to learn models for less common languages where there aren’t many available large annotated datasets. One example is XLM-R.

These approaches can be used to address not just language diversity, but also to reduce bias against any under-represented population.

How does bias manifest itself in speech recognition software? What are the implications?

Bias can occur in speech recognition and NLP within a business in multiple ways, due to natural variations in speech and language usage that arise from factors such as personality, occupation, education, age, gender, etc.

Fundamentally, the most glaring bias issue in current systems is when speech-to-text recognition software simply misunderstands the speaker, and the incorrect words are noted down – or missed completely. For all intents and purposes, if we are trying to do processing and analysis of the spoken word, this speaker has no voice.

There are many reasons that misunderstanding of a speaker can occur:

• If the is multi-language and the business lacks the same breadth of languages in speech recognition systems and NLP models. With 7000+ languages across the globe, to be equitable to all employees, clients, partners, and customers, a business must ensure their NLP solutions provide equitable coverage of all languages spoken within and across the bounds of their organisation.
• Regionally, there are different dialects and accents that are unique, from US to UK English, Spanish as a second language speakers, African-American Vernacular English, and even differences between states in Australia. The models used must accommodate for all these to accurately understand what was said by all speakers.
• Different gendered speakers, and also children and elderly speakers may also sound different, so models must include these.
• Speakers with speech impairments can be misunderstood, so models must be trained to accommodate these people.

What is needed to overcome and regulate bias in NLP technology?

For NLP technology providers, there is a need to improve the diversity in underlying training data, as well as increase research into methods to improve performance for low resource scenarios, such as under-represented languages, dialects, ages or genders.

Businesses that are clients of NLP technology can influence this by insisting performance reporting is done across a range of these demographic factors and by selecting NLP technology vendors based on their accuracy across the board.

To reduce bias for their employees and customers, businesses should implement continual monitoring of NLP accuracy to ensure they are always using the best set of NLP technologies to suit their circumstances. This is not just a one-time decision – continual monitoring is required.  For instance, the software can be used to alert on circumstances where a particular speaker is not making sense in the speech-to-text – a bias is occurring. By evaluating the speaker carefully, they can then seek to implement new models to accommodate them – and other people like them.  A simple way this is often achieved in speech recognition is for employees to read a script during onboarding so that the technology can better learn their individual voices.

Another recent approach to effectively addressing bias is through NLP systems that incorporate active learning loops. This active learning approach allows companies, teams or individual users to provide positive or negative feedback on NLP outputs that allow the models to then adaptively improve for their specific usage over time. This can mean each individual can control and improve the accuracy of systems for their own usage, giving them the power to eliminate negative bias.

By building in activities and automation that help remove bias in NLP systems, businesses can ensure they are engaging ethically with all speakers, allowing everyone to be truly heard. Sharing voice data sets publicly, stripped of proprietary information, can also help evolve language models to be more inclusive.

This article originally appeared in AI Magazine.

• Nuuday is Denmark’s largest telecommunications service provider
• Nuuday to deploy Dubber recording and AI for mobile and Unified Communications (UC)
• Nuuday to migrate existing recording users to Dubber platform
• Builds Dubber footprint across Nordics
• Service launching in Dubber Q4 FY2022

Melbourne, Australia – 23 March 2022 — Dubber Corporation Limited (ASX: DUB) (Dubber) is pleased to announce that its Unified Call Recording (UCR) and Voice AI platform has been selected by Denmark’s Nuuday for unified call recording and voice AI for mobile and unified communications (UC) customers.

Nuuday is Denmark’s largest telecommunications service provider, part of the national carrier TDC Group/ TDC Holding A/S. Dubber services will be available for TDC Erhvervs (a Nuuday brand) customers on their mobile and Unified Communications (UC) solutions in the first half of 2022. The deployment will also provide for the migration of all existing on-premise call recordings to the Dubber cloud platform, maintaining or exceeding compliance standards under legacy customer agreements.

Dubber UCR services will also be immediately available on TDC Scale, Nuuday’s Unified Communications solution for enterprise customers, while migrating existing recording services, and call recording data to the Dubber platform. This implementation will enable Nuuday customers to seamlessly add Dubber products to their existing Nuuday UC services while allowing for the rollout of additional Dubber solutions onto the TDC Scale service.

John Henriksen, CEO, TDC Erhverv: “Our new partnership with Dubber will provide a scalable and secure solution to meet our customers’ call recording requirements, across their mobile and Unified Communications services. Dubber’s solutions will easily integrate with our existing infrastructure and service offerings for all Danish businesses, reinforcing our ambition to constantly innovate to meet customers’ needs. With UC transforming the way businesses communicate, solutions like Dubber provide much-needed, secure and compliant functionality.”

Steve McGovern, CEO, Dubber: Nuuday is a recognised industry leader and one of the most progressive carriers in the European unified communications sector, with one of the largest customer bases on its Cisco/Broadworks UC network. We are delighted to be upgrading Nuuday’s existing recording installed base to the Dubber platform. These legacy services will now have all the inherent benefits of Dubber’s cloud platform, including fully compliant storage, search, transcription, and sentiment analysis – providing Dubber with an accretive increase to our ARR. Provisioning of the Dubber Platform across a broad addressable market will also enable Nuuday to utilise AI to transform data into valuable insights, driving revenue, retention, and differentiation. In addition, Dubber’s cloud-native, simple-to-deploy call recording platform provides Nuuday with an infinitely scalable solution that will grow as their customer needs grow.”

“Our agreement with Nuuday is another important milestone in establishing Dubber as the defacto call recording and conversational AI service for a telecommunications service provider. Through our innovative technology and partnering approach, we can deliver scale, carrier-grade performance and integration in the cloud, and the partnering model to enhance revenue for our service provider customers significantly,” added McGovern.

The Nuuday agreement will provide an accretive revenue stream for Dubber, with additional revenues determined by uptake of the services by Nuuday customers. This ASX announcement has been approved for release to ASX by Steve McGovern, CEO & Managing Director.

As companies are announcing their return-to-office policies, it appears that the trend heavily leans toward the hybrid model. After two years of people working remotely, the hybrid model—understandably—seems like a practical way to ease into commuting and working in an office setting.