Azure AI Speech vs. Lilt

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

Lilt is a great platform for translating and reviewing content for mainstream languages that are spoken by a large number of people such as Spanish, French, etc. in which case the machine translation tool does a great job of adding the appropriate fluency, grammar, and punctuations. The QA checks also likewise provide apt feedback with rarely any errors. The only shortfall for Lilt is when the content to be translated belongs to any non-mainstream languages (such as regional Indian state ones) and the most noticeable errors are thrown by the QA check tools which have several long-standing unfixed bugs.

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

• Provide exact and fuzzy match feedback for translations
• Provide step by step segmented workflow for translating
• Great QA checks including Batch and Full to help detecting errors
• Good machine translation feedback to help translators

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

• Provide greater quality feedback for non-mainstream languages such as Indian regional
• Improve punctuation and grammar fluency for non-mainstream languages
• Fix long standing bug issues in QA check reporting mechanism

Incentivized

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.

• 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

• Lilt is helping my organization localize its products to a lot more languages
• Helps translating large content data like web pages with ease
• Improves overall quality of work done and hence help gain more clients

Incentivized