AI Voices for Announcements & Public Transport
Announcements are heard in reverberant halls and repeated thousands of times. Pronunciation dictionaries fix station and place names permanently, ulaw and alaw feed public address hardware directly, and one voice carries a full multilingual chain.

VOICES FOR THIS USE CASE
Announcements are heard in bad rooms
Stations, airports and concourses are reverberant, and speech that is clear in headphones can smear into noise in a hall. Slowing delivery to around 0.9 does more for intelligibility than casting does, because a slower read survives reflection better than a faster one at any pitch.
Multilingual announcement chains
Indian transport announcements typically run in a regional language, then Hindi, then English. Voices in the Indic family cover all eleven Indic languages plus English, so a single voice can carry that whole chain. That consistency is usually preferable to three different voices in sequence.
Getting place names right
Station and street names are exactly what generic models mispronounce, and an announcement repeated hourly makes an error permanent. Pronunciation dictionaries fix each name once so every generation matches. Have a native speaker confirm the output rather than the spelling, since the two can diverge.
Pre-render everything
Announcements are the clearest case for generating ahead of time. The text does not change, the audio is played thousands of times, and the moment you most need reliability is the moment a network call is riskiest. Generate once, store the files locally, and play from your own system.
SPECIFICATION
Sample rate
44.1 kHz native, resampled to 8 kHz for telephony
Latency
~200 ms to first byte (p50, warm region)
Output formats
ulaw, alaw, PCM 16-bit, WAV, MP3
Streaming transports
WebSocket, HTTP chunked transfer
Speed range
0.5× – 2.0×, set per request
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AI Voices for Announcements & Public Transport
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