Azure AI Speech vs. Google Cloud Speech-to-Text

This service is well suited for scenarios where you need to integrate text-to-speech and/or speech-to-text into applications. Within our organisation, it is primarily used by students for development purposes to enable said functionality but is also used to provide accessibility to students who have hearing-related issues. Its multi-language support is also beneficial for our international students who have English as a second language and are therefore able to rapidly translate any text or speech that they do not understand.

Incentivized

Google Cloud speech-to-text is best suited when you want to work on live calls and transcribe interviews, meetings, customer service calls, and other audio or video recordings into text format. This helps create searchable archives, generate meeting minutes, and improve accessibility for individuals with hearing impairments. The service can provide real-time captioning for live events, webinars, broadcasts, and presentations. This enhances accessibility for individuals who are deaf or hard of hearing and those viewing content in noisy environments or without sound. It does not work well where the internet bandwidth is not that good; it requires a very good and strong internet connection to work well. And also where there are strong accents, especially in the Mandarin language.

Incentivized

• APIs offered are very robust.
• Languages supported is far greater than most of its competitors.
• Integration with our custom apps was easy.
• Speech models that we created using neural voices were quite impressive.
• Translation services worked really well.
• Built in machine learning opens it to a lot more business use cases for the future.

Incentivized

• 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.

Incentivized

• More support for India regional languages and the ability to interpret Indian dialect.
• More detailed documentation with more coded examples to be available.

Incentivized

• 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.

I can share insights with stakeholders in record time. And robust API connections let me pipe text into my CRM, marketing automation, and other mission-critical systems

Azure Cognitive Speech Services is simple and the interface is not complicated even for those getting started with these customer services tools and the best voice recognition. Setting the platform dashboard preferences is also an easy process and with the ability to manage workflow and document management the system functions are stable and effective.

The accuracy of Google Cloud Speech-to-Text is much better than any other tool. It has better API integration with 3rd party tools. The transcription is on at real-time basis with the best efficiency. It has good language support from across the globe. It provides better noise robustness compare to other tools.

Incentivized

• It helps us catch requirements and make notes so that we don't forget when drawing out proposals.
• Also helps us with targeted pitches and helps save time.

Incentivized

• Automating the transcription process saved time and resources compared to manual transcription.
• Speech-to-text enabled us to make audio content accessible to a wider audience, including individuals with disabilities.
• We gained valuable insights into customer preferences, behaviors, and sentiment by analyzing voice data.

Incentivized