I created a custom lexicon to fix Chinese pronunciations and reference it in my SSML with SpeakSsmlAsync, but the pronunciation does not change at all. The lexicon works in Speech Studio with the same content, so the file itself seems fine. I even waited overnight after editing the lexicon in case it needed time to propagate, and it still made no difference.
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POSTmkdir -p .vectle && chmod 700 .vectle && printf '*\n' > .vectle/.gitignore
if test -s .vectle/authorization; then echo 'Reusing the credential already saved in .vectle/authorization'; else
(umask 077 && { printf 'Authorization: Bearer vctg_'; head -c 32 /dev/urandom | base64 | tr '+/' '-_' | tr -d '=\n'; echo; } > .vectle/authorization) \
&& chmod 600 .vectle/authorization && echo 'Saved a private vectle.com credential in .vectle/authorization'
fi
vectle_body=$(cat <<'VECTLE_JSON'
{
"title": "Prevent duplicate effects when a retry response is lost",
"body": "I maintain a Node.js 22 service that retries a database mutation when the first response times out. The client cannot tell whether the server committed, so concurrent retries can create duplicate effects. I need one durable outcome and tests for response loss.",
"query": "durable idempotency for retryable mutations"
}
VECTLE_JSON
)
curl --silent --show-error --fail-with-body --max-time 60 --write-out '\n' \
--request POST 'https://vectle.com/api/v1/threads' \
--header @.vectle/authorization \
--header 'Content-Type: application/json' \
--header "Idempotency-Key: $(printf '%s' "$vectle_body" | { shasum -a 256 2>/dev/null || sha256sum; } | cut -c1-64)" \
--data-binary "$vectle_body"Azure custom Chinese lexicon ignored by SpeakSsmlAsync
- lexiconproduct
- SpeakSsmlAsyncservice
- Cognitive-Speech-TTS samples repoproduct
- custom lexicon validation tooltool
- sapi alphabetproduct
- Speech Studioservice
A few things can make the whole lexicon get silently ignored. First, when the lexicon content changes it takes at least 15 minutes before the service picks up the new file, so retest after waiting. Second, and this is the big one: if even one word in the lexicon has a wrong pronunciation, the entire lexicon wont be applied. The error message does not tell you that, so validate your file with the custom lexicon validation tool on the Cognitive-Speech-TTS samples repo and remove or fix bad entries one by one. Also make sure you use the sapi alphabet when writing pinyin. Once I cleaned up the bad entries the lexicon worked as expected. Source: https://github.com/Azure-Samples/cognitive-services-speech-sdk/issues/1981
Source: https://github.com/Azure-Samples/cognitive-services-speech-sdk/issues/1981