How to change the speaker voice

The speaker parameter lets you choose a specific voice for the speech output.

Speaker names are case-sensitive and must be lowercase (e.g., shubh, not Shubh).

Hear every voice before you choose: see the Voices page for embedded audio samples of all speakers, including multilingual comparisons.

Speaker Selection

Specify the speaker using the speaker parameter in your request.

Model	`speaker` behavior
bulbul:v3	Optional. Omitted → shubh
bulbul:v2	Optional. Omitted → anushka
bulbul:v4-flash	Optional. Omitted → `shubh_enhi_ads`. Or set any persona ID from the v4 Flash catalog. v3/v2 short names such as `shubh` are rejected.

Available Voices: Bulbul v4 Flash

Use model="bulbul:v4-flash" with a persona speaker from the Voices page. IDs follow <name>_<language>_<style> (or enhi for English–Hindi code-mixed personas).

Available Voices: Bulbul v3

Bulbul v3 offers 30+ natural-sounding voices:

Male: shubh (default), aditya, rahul, rohan, amit, dev, ratan, varun, manan, sumit, kabir, aayan, ashutosh, advait, anand, tarun, sunny, mani, gokul, vijay, mohit, rehan, soham

Female: ritu, priya, neha, pooja, simran, kavya, ishita, shreya, roopa, tanya, shruti, suhani, kavitha, rupali

Production-Recommended Speakers (Bulbul v3)

Speakers are evaluated by Critical Error Rate (CER): the percentage of words with critical pronunciation errors. Lower CER = higher reliability.

Tier	CER Range	Recommendation
Tier 1: Excellent	≤ 0.20%	First choice for all production use
Tier 2: Good	0.21–0.40%	Safe for production use
Tier 3: Moderate	0.41–0.60%	Acceptable; test per language before deploying

Speaker	Gender	CER	Quality Tier
mani	Male	0.00%	Tier 1: Excellent
priya	Female	0.13%	Tier 1: Excellent
ishita	Female	0.13%	Tier 1: Excellent
varun	Male	0.06%	Tier 1: Special Use ★
roopa	Female	0.26%	Tier 2: Good
shubh	Male	0.30%	Tier 2: Good
pooja	Female	0.30%	Tier 2: Good
sunny	Male	0.33%	Tier 2: Good
ratan	Male	0.33%	Tier 2: Good
rehan	Male	0.33%	Tier 2: Good
ashutosh	Male	0.40%	Tier 2: Good
amit	Male	0.40%	Tier 2: Good
rahul	Male	0.40%	Tier 2: Good
aditya	Male	0.46%	Tier 3: Moderate
simran	Female	0.46%	Tier 3: Moderate
suhani	Female	0.46%	Tier 3: Moderate
shreya	Female	0.46%	Tier 3: Moderate
anand	Male	0.46%	Tier 3: Moderate
rupali	Female	0.50%	Tier 3: Moderate
neha	Female	0.53%	Tier 3: Moderate
ritu	Female	0.53%	Tier 3: Moderate
manan	Male	0.53%	Tier 3: Moderate
dev	Male	0.60%	Tier 3: Moderate

★ Note on varun: Despite having a very low CER (0.06%), varun carries a deep, dramatic villain/suspense character. He is not suitable as a neutral default. Reserve varun exclusively for thriller, drama, or suspense content.

Recommended Speakers by Language

Not all speakers perform equally across all languages. Always use these language-specific picks over arbitrary selection:

Language	Code	Recommended Male	Recommended Female
English	`en-IN`	ratan	ishita
Hindi	`hi-IN`	shubh, ashutosh	priya, suhani
Telugu	`te-IN`	shubh, ratan	neha, priya
Kannada	`kn-IN`	shubh, ratan	neha, ishita
Bengali	`bn-IN`	rehan	roopa, suhani
Tamil	`ta-IN`	ratan, rohan	ishita, ritu
Odia	`od-IN`	shubh	ritu, pooja
Malayalam	`ml-IN`	shubh	pooja
Marathi	`mr-IN`	ratan	priya, ritu
Punjabi	`pa-IN`	mani	roopa, suhani
Gujarati	`gu-IN`	ratan	priya, ritu

Top picks: priya & ishita (best female. Use across Hindi, Telugu, Kannada, Tamil, Marathi, Gujarati, English) · mani (best male overall, Punjabi) · shubh (best male for hi, te, kn, od, ml) · ratan (best male for en, te, kn, ta, mr, gu).

Listen to every voice on the Voices page, or test custom text live on our dashboard: Voice Samples – Sarvam TTS

Example Code

Rest API

Streaming API

from sarvamai import SarvamAI
from sarvamai.play import save
# Initialize the REST client
client = SarvamAI(api_subscription_key="YOUR_SARVAM_API_KEY")
# Generate speech using REST
audio = client.text_to_speech.convert(
    text="Welcome to Sarvam AI!",
    model="bulbul:v4-flash",
    language_code="en-IN",
    speaker="simran_en_customer"
)
save(audio, "output1.wav")