Why Building In-house model for TTS and STT are the Future

Why having in-house model of TTS (Text to speech) and STT ( Speech to Text) modell is sthe future for business finding Voice AI solutions for their busisnesses.

Businesses are constantly under pressure to deliver faster, smarter, and more personalized experiences. You can imagine handling thousands of calls daily—whether it’s sales, pre-sales, collection, or support calls. Relying on human agents alone is no longer beneficial.

So how can businesses meet these demands without compromising efficiency or cost?

Via TTS (text-to-speech) and STT (speech-to-text) modals using voice AI technology. They enable real-time, automated interactions without the need for constant human intervention.

But, here’s the catch: many businesses are outsourcing these capabilities. Problem? It comes with limitations like lack of customization, higher cost, and  low competitiveness.

So is there a better solution?

Third-party voice interactions via the TTS and STT models fall short when it comes to evolving flexibility, competitiveness, and evolving business needs.

If you’ve ever struggled with the impersonal tone of a generic voicebot or faced delays in processing real-time data from customer interactions, you understand the limitations.

 

Why Relying on Outsourced TTS and STT Doesn’t Cut It Anymore?

 

Lack of Flexibility & Customization

When you rely on third party providers for TTS and STT, you’re bound by the limitations of their generic models. These solutions aren’t tailored to your business’s specific needs, whether it’s for pre-sales conversations, lead verification, or customer support interactions. Voice AI agents powered by third-party models lack the tone, context, and adaptability required to excel in highly specialized scenarios like upselling and cross-selling. As a result, your customer interactions often feel robotic and disconnected.

In-House TTS and STT Models for Tailored Interactions

Building in-house models allows businesses to fully customize TTS and STT for their unique use cases. Imagine a voicebot that sounds like your brand, tuned to adapt in real-time based on customer mood or sales conversation flow. Whether it’s customer support, lead qualification, or upselling, in-house models allow for voice cloning, tone adaptation, and task-based training. This level of customization can transform how your business engages with customers at every step.

 

Third-Party Costs Add Up, and You Don’t Own the Solution

 

Long-Term Cost Inefficiency

Outsourcing your TTS and STT needs might seem cost-effective initially, but in the long run, you’re locked into usage fees, scaling costs, and licensing agreements that only increase as your business grows. Worse, you’re not in control of the technology, which limits your ability to innovate.

Cost-Effective, In-House TTS and STT with Full Ownership

Having an in-house TTS and STT model requires an upfront investment, but the long-term savings are significant. You’ll own the technology, allowing for infinite scalability without recurring vendor fees. As your use cases evolve; whether it’s for handling 10,000 customer support calls a day or qualifying 30,000 leads, an in-house solution ensures you control both the cost and innovation.

 

Third-Party Solutions Create Latency and Complexity

 

Delays in Real-Time Customer Interactions

Third-party TTS and STT systems often introduce latency, which can be a critical issue in real-time applications like sales calls, lead verification, and customer support. Imagine a scenario where a customer’s inquiry is processed with a delay, resulting in a missed upsell opportunity or a frustrated caller. These delays can kill sales momentum or disrupt customer experiences.

Real-Time, End-to-End Automation with In-House Models

By building TTS and STT in-house, businesses can ensure seamless, real-time interactions. From instantly transcribing a customer support call to generating real-time insights for upselling, in-house models enable faster, more accurate responses. Your sales and support teams can act immediately based on voice data, delivering better results without the delays introduced by third-party solutions.

 

Accuracy and Insights: Third-Party Models Lack Context for Data-Driven Insights

 

Inaccurate Transcriptions Lead to Bad Decisions

Third-party STT models often fail to capture the nuances of industry-specific conversations. This leads to inaccurate transcriptions and, consequently, bad business decisions. Whether it’s missing key phrases during a sales call or misinterpreting customer inquiries, these errors can have significant business impacts.

Precision with In-House Models for Accurate, Data-Driven Insights

An in-house STT model is trained on your specific data, ensuring higher accuracy in transcriptions. For sales teams, this means lead conversations are accurately captured and actionable insights are immediately available. For customer support, accurate data ensures proper responses and next steps. In-house models can even learn from past interactions to continually improve, offering your business a competitive advantage in real-time decision-making.

 

One-Size-Fits-All Models Don’t Scale with Your Needs

 

Third-Party Solutions Aren’t Built to Scale with Your Business Diversity

As your business grows, third-party models may struggle to keep up with the increased volume of calls, leads, or customer interactions. Scaling often requires higher costs, and the rigidity of these solutions prevents them from adapting to new use cases or evolving business needs.

Scalable, Customizable In-House TTS and STT Models

With an in-house solution, you can scale at your own pace, whether you’re handling 1,000 or 30,000 interactions per day. In-house TTS and STT models are designed to grow with your business and can be continually adapted to meet new needs, such as handling additional languages, new product lines, or expanding markets. This scalability is critical for businesses that want to remain agile and responsive.

 

Future of Voice AI with In-House TTS and STT Models

 

At VoiceOwl, we recognize that the future of sales, customer support, and real-time automation depends on more than just good technology—it requires a deep understanding of your business needs. That’s why we’re developing our own in-house TTS and STT models specifically for generative AI voicebots, designed to handle everything from lead qualification and verification to customer support, upselling, and beyond.

Our models offer:

  • Custom voice agents tailored to your specific tasks—whether it’s sales, pre-sales, or customer care.
  • Full ownership of the technology, ensuring both data security and cost-effectiveness.
  • Real-time insights and actions to help your teams respond faster and smarter, without the need for human intervention.

In-house TTS and STT are not just technologies of the future—they are the competitive advantage that will set businesses apart in an increasingly automated world.

By investing in your own models, you gain the power to deliver better customer experiences, make smarter decisions, and scale without limits.

Let’s talk if you’re looking to stay future competitive!