At Google Cloud, we’re committed to making artificial intelligence (AI) accessible to everyone and easier to harness for new use cases.  That’s why we’re excited to announce the general availability of our intuitive, new visual user interface for Google Cloud’s Speech-to-Text (STT) API, right in Google Cloud Console, which makes the API much simpler and easier for developers to use.  

The STT API lets developers convert speech into text by leveraging Google’s years of research in automatic speech recognition and transcription technology. As advancements in AI continue to bring speech to new interfaces and devices, the STT API helps developers add speech functionality to their applications in order to better meet consumer demands. 

The STT API covers a wide variety of use cases, from dictation and short commands, to captioning and subtitles. Getting the most of STT, however, can be a complicated process. To achieve the highest accuracy on any AI use case requires careful testing and tuning. 

Previously, developers building on the STT API had to do this work manually by carefully experimenting with our API. Just to get started, developers needed familiarity with GCP integration concepts and had to either build their own tools or manage various scripts and API calls to fully understand the API documentation.  These actions required cumbersome and time-consuming effort and made measuring, customizing, and improving models even more difficult.  

Today’s announcement significantly simplifies the process, facilitating iteration and integration of models into developers’ applications by letting developers perform every API function from within the Google Cloud Console.  These tools will make it easier for developers to integrate the STT API with their products or services. This update also gives developers the ability to manage and quickly iterate on their STT model customizations with Model Adaptation.

Model Adaptation allows developers to customize STT specifically for their domains or use cases. Developers can maintain lists of words and weights that will be applied to either every request or just single requests, depending on their needs. Model adaptations are reusable and composable, so once developers have seen good results in the STT Cloud Console, they can deploy to their entire solution. 

The Speech-to-Text Cloud Console and Model Adaptation API is available now in all Google Cloud regions and languages and is accessible to all GCP users with no additional cost to that of the underlying API usage. The STT API supports over 70 languages in 120 different local variants. If you’re a developer looking for an easy to use, easy to integrate, and high-quality STT experience, sign up for our free trial and try our new interface on your own datasets today!

On March 15th, the Go team announced Go 1.18 GA, the latest release of the Go programming language. The culmination of over a decade of design delivers the features our developers demanded: generics, fuzzing, and module workspaces. With this release, Go becomes the first major language to integrate fuzz testing into its core toolchain without using third-party support, further establishing Go as a preferred language for developing secure applications.

Go was created at Google in 2007, designed to help developers build fast, reliable, and secure software. Unlike traditional languages, Go was built for the modern multi-core computing world. Go has emerged as a modern language for developing cloud applications, services, and infrastructure. Today Go powers several of Google’s largest products, and is used by many customers to scale their businesses. Organizations big and small love Go and the community of Go developers, known as “gophers” has grown into a global network with over 2 million users worldwide.

Using the power of Go in the Cloud

When looking at the public repos, over 75% of CNCF projects including Kubernetes are written in Go and 10% of developers are writing in Go worldwide (as of May 2021). Google delivers high performance infrastructure to run key, cloud native, Open Source projects. Our modern cloud infrastructure is based on Kubernetes at its core and our strong support for Istio and Knative have formed the base of some of our leading services like Google Kubernetes Engine (GKE), our managed application platform with Anthos, Cloud Functions, and Cloud Run. Google uses Go extensively for a wide range of applications from our indexing platform that powers Google Search, to the server side optimizations that power Chrome’s 1B+ users, to the infrastructure on which Google cloud is built.

Release Highlights

With this new release of Go 1.18, Generics are the biggest change to Go since the language was created. Go developers told us that they feel that Go lacks critical features, with generics being the main missing piece. With Go 1.18, new and existing Go developers can take advantage of the productivity, performance, and maintenance benefits that generics can bring. We’ve already begun to see the new kinds of libraries and projects gophers are building with generics in its short beta period, and expect this creativity to grow as time goes on.

This Go release also brings native support for fuzzing. Fuzzing is a type of vulnerability testing that throws arbitrary data at a piece of software to expose unknown errors and is emerging as a common testing scheme in enterprise development. Go is now the first major language to provide fuzzing support with no third-party integrations necessary, allowing developers to start building secure software with minimal additional cost. Go’s innovative approach to fuzzing can provide not only security for the current code but also ongoing protection as code and dependencies evolve. With attacks on software becoming more common and complex, vulnerability detection can be a critical part of the enterprise development lifecycle, and Go’s fuzzing capabilities catch vulnerabilities earlier in the lifecycle.

Build securely using Go

At Google we are helping to make Open Source software secure. Open source software is a connective tissue for much of the online world. At Google, we’ve been working to raise awareness of the state of open source security and are committed to helping secure the software supply chain for organizations. Go has been designed to create secure applications, helping to minimize risk as much as possible. Go applications compile down to a single binary without local dependencies. It’s not uncommon to see an application built using only the standard library, or only a couple well-vetted Go dependencies. Go’s dependency management uses tamper-evident transparency log, with built in tooling that helps ensure your dependencies are what you can expect. Go has native encryption, which is used across much of the internet, including key components of Google. Go even supports distroless containers, where there are zero local dependencies to worry about. Google Cloud products like Cloud Build, for CI/CDand Artifact Registry, for container management, and have direct access to Go’s vulnerability database and can provide you instant warnings about security threats.

“At Google we are committed to helping to secure the online infrastructure and applications upon which the world depends. A critical aspect of this mission is being able to understand and verify the security of open source dependency chains. The 1.18 release of Go is an important step towards helping to ensure that developers are able to build secure applications, understand risk when vulnerabilities are discovered, and reduce the impact of cybersecurity attacks” said Eric Brewer, VP Infrastructure, Google Fellow

This launch is a significant milestone for Go that helps developers from around the world build more performant and secure applications that run on any infrastructure. For more information on this release and how to get started with Go, please visit.