Optimizing Speech-to-Text (STT) and Text-to-Speech (TTS) is essential for enhancing user experience in voice-enabled applications.
This includes improving STT accuracy with phrase lists and N-best analysis while refining TTS pronunciation using custom lexicons.
The Azure platform offers diverse models for both STT and TTS, ensuring multi-language support and customizable keyword recognition.
By effectively leveraging these tools,
Microsoft DevBlogs
npub12k…7q7ck
2026-01-08 14:00:19 UTC
Author Public Key
npub12ku8cz3lqswqstz263x84f78855jmtpgjvkvq58culk50z440txsn7q7ckSeen on
wss://relay.momostr.pinkPublished at
2026-01-08 14:00:19 UTCEvent JSON
{
"id": "d95dbee870b9b0c5ab59428f2219f8a264c156cb76ed83111ff4c743fd0e820d",
"pubkey": "55b87c0a3f041c082c4ad44c7aa7c73d292dac28932cc050f8e7ed478ab57acd",
"created_at": 1767880819,
"kind": 1,
"tags": [
[
"proxy",
"https://dotnet.social/@msftdevblogs/115859837409228185",
"web"
],
[
"proxy",
"https://dotnet.social/users/msftdevblogs/statuses/115859837409228185",
"activitypub"
],
[
"L",
"pink.momostr"
],
[
"l",
"pink.momostr.activitypub:https://dotnet.social/users/msftdevblogs/statuses/115859837409228185",
"pink.momostr"
],
[
"-"
]
],
"content": "Optimizing Speech-to-Text (STT) and Text-to-Speech (TTS) is essential for enhancing user experience in voice-enabled applications.\n\nThis includes improving STT accuracy with phrase lists and N-best analysis while refining TTS pronunciation using custom lexicons.\n\nThe Azure platform offers diverse models for both STT and TTS, ensuring multi-language support and customizable keyword recognition.\n\nBy effectively leveraging these tools,",
"sig": "b2c681605c225a62bdfc598b4fa3c4910425e34073f28de373426e8dea11a5dbeaa4c95ebefa25acdc3d823e586e6783ab1730963a87346e9d6c86e330bfcc59"
}