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 Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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- Competitors
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- FAQs
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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Reviews and Ratings
(42)Attribute Ratings
Reviews
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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 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.
March 17, 2024
Use it!
- For organizations producing video or audio content, Speech-to-Text can be used to generate subtitles or transcripts, making content accessible to a broader audience, including those who are deaf or hard of hearing.
- By transcribing customer service calls in real-time, businesses can automate the categorization and routing of calls based on their content, improving response times and customer satisfaction.
- In industries where compliance with regulations is crucial, Speech-to-Text can help in automatically transcribing meetings and calls to ensure that all discussions are documented and reviewable for compliance purposes.
- Better recognition of a wider range of accents and dialects to ensure inclusivity and fairness in service provision.
March 15, 2024
Google Cloud Speech to Text Review.
- Properly transcribes and translates words.
- The report generated is super efficient and is done pretty quickly.
- Multiple languages are supported.
- The cost is such that only bigger organisation can afford it.
- It could provide us with list of alternative words for every sentence.
- The integration is difficult for beginners.
- Transcription of audio content.
- Real-time captioning.
- Voice analytics.
- Accent understanding of the live calls.
- Does not work efficiently when not having great internet connectivity.
- A bit costly.
March 15, 2024
Google Cloud Speech-to-Text!!
- Convert speech to text in English + Hebrew
- Auto correction
- Latin expressions
- Punctuations
March 14, 2024
Text to Voice has never been so simple & efficient.
- An amazing tool which helps a lot in a meetings.
- It's an efficient tool for improving efficiency by saving a lot of time typing. It saves at least 40-50% of our time, thus increasing efficiency.
- Incredible accuracy with multiple accents & multiple language.
- It takes punctuation into consideration.
- Implementation is a challenging & time consuming.
- It's pricey. So, you only have to use the relevant services/features. Therefore, exploring is limited.
- Sometimes, one needs to be very aware of background noises. It would be great if noise cancellations were introduced.
- There will be lag in conversion at times due to a poor internet connection. If this can be addressed somehow, that would be great.
March 13, 2024
Google Cloud Speech-to-Text Function
- General transcribing
- Short verses in native English
- Numeric entries
- Chat conversations
- Simple email composition
- Vocabulary is sometimes not great
- Words are often transcribed wrong even after deleting and repeating the verse
- Speech variation throws off the transcription
- Non-English words are not transcribed
- Names are often wrong even if they are in the contacts
March 13, 2024
My personnal assistant for speech recognition
- Converting daily meeting audio to text
- Ability to recognise and convert multi language audio to text.
- Works in real time.
- Integration with other meeting clients like Zoom, Webex etc
- More easy API setup should be there
- Noise cancellation to filter out noisy words can be better.
Score 7 out of 10
Vetted Review
Verified User
- for the most part, it transcribes American accents well
- Differentiates sentences, catches filler words
- Spellings are accurate
- Does not capture non-American accents too well (e.g. Indian, middle eastern, African)
- hallucinations - will misinterpret a word wrongly instead of skipping it
March 12, 2024
Great service, especially for first time use cases
- TTS (text to speech) is mostly accurate
- pronunciation is mostly consistent
- variable speed processing is helpful for different data info weights
- occasionally the robot reads words with random unnecessary inflections
- integrated proactive AI text search would be helpful
March 12, 2024
Great for on the go work!
- Saving time
- Making suggestions
- Quicker typing
- Language barriers
- Pronounciations or names
- Speed
March 12, 2024
Speech to Text
- Really great at speech to text transcription
- Transcriptions are mostly accurate but sometimes do still need to be corrected
March 11, 2024
Google Cloud Speech-to-Text - Great Tool.
- Great with multiple languages.
- Real time transcription speed is incredible.
- Has highly accurate information so it saves a lot of my time.
- improve by adding more languages.
- improve overall transcription (not perfect when talking really fast).
- Honing in on just one person when another person interrupts, or there's background noise.
- Has a great fluency in getting voice-to-text
- The latency of the API works in HA
- Applies a good noise cancellation
- Improve speech accuracy
- Better pricing tiers for startups
- Plugin to connect to ChatGPT or Bard
March 11, 2024
Google Speech to Text - First Person Experience
- Transcribing Meeting Mintues
- Excellent AI engine to understand various accents
- Ease of use
- Helpful for specially abled individual in by reducing barrier and increasing inclusivity
- Improving accent base especially from Non native English speaking countries
- Phrasal recognition
- Recognising patterns in and voices especially in an enterprises edition where it learn from within the enterprise with data record kept internally to reduce errors and increase efficiency
March 11, 2024
Efficiency at its best
- Image search
- Audio search
- Complex queries search
- Inaccurate results
- Tone understanding of speech
- Lack of understanding certain language
March 11, 2024
Google Cloud Speech-to-Text glory
- Language translation
- Facilitate idiom barriers
- Increase speed
- Increase efficiency
- Interface could be spruced up a bit
- Larger free limits
March 11, 2024
Amazing tool to optimize recordings
- Meeting Minutes
- Interviews
- Agenda
- Recordings
- Speech pace
- Room and background noise
March 11, 2024
Great for dictation
- Dictation
- Note taking
- Translation
- Translation is sometimes incorrect
- Doesnt catch everything
- Words can be jumbled
March 11, 2024
Google Cloud Speech-to-Text top of the line!
- Speed of Transcription
- Accuracy of Transcription
- Bigger files take a longer time
- UI is a bit outdated