Boosting Accessibility with Google Cloud Speech-to-Text
I recently used the Google Cloud Speech-to-Text tool to generate a detailed transcript of a focus group interview with prospective …
Starting at $0.02 per min
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What is Google Cloud Speech-to-Text?
Speech-to-Text on Google Cloud is a tool used to convert speech into text using an API powered by Google’s AI technologies. The vendor states users can transcribe content in real time or from stored files; deliver a better user experience…
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Speech-to-Text V2 API
$0.016
Cloud
per min
Speech-to-Text V1 API
$0.024
Cloud
per min
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://cloud.google.com/speech-to…
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- Free/Freemium Version
- Premium Consulting/Integration Services
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What is Google Cloud Speech-to-Text?
Google Cloud’s Speech API processes more than 1 billion voice minutes per month, and boasts close to human levels of understanding for many commonly spoken languages. Powered by Google's AI research and technology, Google Cloud's Speech-to-Text API helps users to accurately transcribe speech into text in 73 languages and 137 different local variants. Google’s deep learning neural network algorithms can be leveraged for automatic speech recognition (ASR), and ASR cam be deployed wherever it is needed, whether in the cloud with the API, on-premises with Speech-to-Text On-Prem, or locally on any device with Speech On-Device.
The service includes up to 60 minutes for transcribing and analyzing audio free per month. (Applies to processing audio with the Speech-to-Text V1 API only.)
Advanced speech AI
Speech-to-Text can utilize Chirp, Google Cloud’s foundation model for speech trained on millions of hours of audio data and billions of text sentences. This contrasts with traditional speech recognition techniques that focus on large amounts of language-specific supervised data. These techniques give users improved recognition and transcription for more spoken languages and accents.
Support for 125 languages and variants
Build for a global user base with extensive language support. The service transcribes short, long, and even streaming audio data. Speech-to-Text also offers users more accurate and globe-spanning translation and recognition with Chirp, the next generation of universal speech models. Chirp was built using self-supervised training on millions of hours of audio and 28 billion sentences of text spanning 100+ languages.
Pretrained or customizable models for transcription
Offers a selection of trained models for voice control, phone call, and video transcription optimized for domain-specific quality requirements. Users can customize, experiment with, create, and manage custom resources with the Speech-to-Text UI.
Out-of-the-box regulatory and security compliance
Speech-to-Text API v2 gives enterprise and business customers added security and regulatory requirements out of the box. Data residency enables the invocation of transcription models through a fully regionalized service that taps into Google Cloud regions like Singapore and Belgium. Recognizer resourcefulness eliminates the need for dedicated service accounts for authentication and authorization. Logs for resource generation and transcription are made easily available in the Google Cloud console. And Speech-to-Text API v2 offers enterprise-grade encryption with customer-managed encryption keys for all resources as well as batch transcription.
AI-powered speech recognition and transcription
Speech-to-Text uses model adaptation to improve the accuracy of frequently used words, expand the vocabulary available for transcription, and improve transcription from noisy audio. Model adaptation lets users customize Speech-to-Text to recognize specific words or phrases more frequently than other options that might otherwise be suggested. For example, you could bias Speech-to-Text towards transcribing "weather" over "whether."
Streaming speech recognition
Sends real-time speech recognition results as the API processes the audio input streamed from connected application’s microphone or sent from a prerecorded audio file (inline or through Cloud Storage).
Google Cloud Speech-to-Text Features
- Supported: Global vocabulary
- Supported: Streaming speech recognition
- Supported: Speech adaptation
- Supported: Speech-to-Text On-Prem
- Supported: Multichannel recognition
- Supported: Noise robustness
- Supported: Domain-specific models
- Supported: Content filtering
- Supported: Transcription evaluation
Google Cloud Speech-to-Text Screenshots
Google Cloud Speech-to-Text Video
How to use Speech-to-Text
Google Cloud Speech-to-Text Competitors
Google Cloud Speech-to-Text Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Mac |
| Mobile Application | No |
Frequently Asked Questions
Speech-to-Text on Google Cloud is a tool used to convert speech into text using an API powered by Google’s AI technologies. The vendor states users can transcribe content in real time or from stored files; deliver a better user experience in products through voice commands; and, gain insights from customer interactions to improve service.
Azure AI Speech, Amazon Transcribe, and IBM Watson Speech to Text are common alternatives for Google Cloud Speech-to-Text.
The most common users of Google Cloud Speech-to-Text are from Enterprises (1,001+ employees).
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April 18, 2024
Boosting Accessibility with Google Cloud Speech-to-Text
Score 9 out of 10
Vetted Review
Verified User
I recently used the Google Cloud Speech-to-Text tool to generate a detailed transcript of a focus group interview with prospective customers. We then transformed the raw text into polished competitive analysis reports: which helped our client revamp their product roadmap.
- I swear by its uncanny accuracy, rapid turnaround, and seamless integrations.
- Its natural language processing algorithms can decipher even the simplest accents or industries.
- Fast transcription means you'll be able to get more done in less time
- The software does occasionally get confused by confusing terminology.
- Its web-based interface can also feel a tad hard to use compared to more appealing desktop apps.
- I've experienced the occasional technical issue, though the provider's support team is quick to troubleshoot.
- In the vast majority of our use cases, it's an invaluable productivity booster that I wouldn't trade for anything.
- Gone are the days of manual transcription, where hours were spent deciphering interviews or training sessions.
- Time is of the essence in today's competitive landscape.
The impact of this speech recognition powerhouse has been nothing short of transformative. For a recent market research project, we were able to automatically transcribe hours of customer interviews allowing our team to uncover emerging trends and pain points in record time.
I've also trialed IBM Watson Speech to Text for similar use cases. While both are highly capable, I find the Google Cloud Speech-to-Text software's accuracy and integrations to be a cut above. Harnessing Google's speech recognition prowess has elevated our firm's value proposition and bottom line.