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Punjabi TTS Training Data

Single-speaker and multi-speaker text-to-speech corpora with phonetically balanced scripts, consistent prosody, and studio-grade capture suitable for neural TTS. This page covers how that works specifically for Punjabi, where punjabi is tonal: high, low and level tones distinguish words, and tone is not marked in gurmukhi orthography.

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Studio-grade voice recording session for text-to-speech training data — Punjabi TTS Training Data
Language
Punjabi (pa-IN)
Dialects covered
5
Typical programme
100-500 hours
Cities
Amritsar, Ludhiana, Jalandhar
01

What changes when the language is Punjabi

The service specification stays constant across languages; the linguistics do not. For Punjabi, three things drive the design of a tts datasets programme.

  • Punjabi is tonal: high, low and level tones distinguish words, and tone is not marked in Gurmukhi orthography
  • Dialect spread: Majhi (standard), Malwai, Doabi, Puadhi
  • Punjabi speech mixes Hindi and English freely, with strong diaspora influence in urban registers.
TTS datasets — Punjabi · written into the SOW before recordingSample rate48 kHz, 24-bitSpeaker consistencySame booth, mic, distance and time-of-day banding across se…ScriptPhonetically balanced, diphone-covering, domain-extendedProsodyNeutral base set plus optional expressive stylesAlignmentText-audio alignment verified per utteranceYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
Sample rate48 kHz, 24-bit
Speaker consistencySame booth, mic, distance and time-of-day banding across sessions
ScriptPhonetically balanced, diphone-covering, domain-extended
ProsodyNeutral base set plus optional expressive styles
AlignmentText-audio alignment verified per utterance
SilenceLeading/trailing silence trimmed to a fixed window
Speaker recording scripted prompts for a speech data collection project — supporting punjabi tts training data
Speaker recording scripted prompts for a speech data collection project
03

Punjabi cohort design

Cover all three historic regions (Majha, Malwa, Doaba); tone realisation differs measurably between them.

DimensionTypical splitWhy it matters for Punjabi
Gender50 / 50Pitch range differences change acoustic model behaviour; unbalanced cohorts bias recognition
Age18-25: 30%, 26-40: 40%, 41-60: 30%Older speakers retain conservative Punjabi forms that younger urban speakers have lost
RegionPunjab / Haryana / Delhi and othersDialect spread across 5 recognised varieties
EducationMixed, including below-graduatePrompt-reading fluency correlates with education and skews prosody
ConditionStudio / quiet room / fieldMatch the noise profile of your deployment
04

Process

  • Script generation with phoneme and diphone coverage analysis
  • Voice casting with client shortlisting from audition samples
  • Multi-session recording with drift monitoring between sessions
  • Alignment verification and mispronunciation review by a linguist
  • Delivery with a coverage report
05

Punjabi-specific quality rules

  • Tone is unrepresented in text, so pronunciation lexicons must be built from audio, not from spelling
  • Shahmukhi vs Gurmukhi script decisions must be fixed per project
  • Adhak (gemination) applied inconsistently

Session drift is the main TTS killer. Every session is compared acoustically against the reference session and re-recorded if it drifts.

06

Deliverables

  • Studio WAV per utterance
  • Verified transcripts and pronunciation notes
  • Phoneme coverage report
  • Voice talent licence and consent documentation
07

Worked example

A representative Punjabi tts datasets engagement: 100 hours from 300 speakers, 50/50 gender, ages 18-45, spread across Amritsar, Ludhiana, Jalandhar, recorded to the specification above and delivered in WAV with a per-utterance manifest.

Timeline: 4-8 weeks for a 20-40 hour single-speaker voice build including casting.

08

Where this data is missing today

Tonal variation is essentially unmodelled in public Punjabi data, and Malwai/Doabi rural speech is scarce.

Frequently asked

How much does Punjabi tts datasets cost?

Priced per delivered hour or unit against a written spec. The cost drivers for Punjabi are dialect spread, demographic narrowness and recording condition, in that order.

Which Punjabi dialects are included?

By default Majhi (standard), Malwai, Doabi, Puadhi and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Punjabi data in our format?

Yes. Studio WAV per utterance is the default, but naming, schema and directory structure follow your pipeline.

How long does a Punjabi programme take?

4-8 weeks for a 20-40 hour single-speaker voice build including casting.

Request a Punjabi tts datasets quote

Hours, speakers, dialects, deadline. Send what you have.

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