Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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TTS General Benchmark

A multilingual Text-to-Speech (TTS) evaluation benchmark covering 11 Indian languages across multiple real-world use cases. The dataset is designed for systematic and repeatable evaluation of TTS systems under both high-quality and telephony bandwidth conditions.

Total prompts: 1,815 unique text samples
Languages: 11
Evaluation tracks: High Quality + 8 kHz Telephony

This is an evaluation-only benchmark dataset intended for testing and comparison — not for model training.

Dataset Overview

The TTS General Benchmark provides diverse prompts that reflect practical deployment scenarios such as conversational agents, announcements, narration, support calls, and telephony bots. Prompts are curated to test clarity, robustness, pronunciation handling, and expressive capability.

Each prompt is labeled with:

language
usecase
eval_category (evaluation track)

The dataset contains two independently evaluated tracks with different prompt distributions.

Evaluation Categories

high_quality

Full-band prompts intended for studio / wideband TTS evaluation. These focus on naturalness, expressiveness, and content realism.

High Quality Use Cases

Use Case	Samples
Conversational Bots	275
Audiobook	132
Information Narration / News	121
General Conversations	110
Education	110
AI Assistants	110
Content Creation	110
Culture	77
Announcements	110
Indianisms	55
Insane Repetition	55

High-quality total: 1,265

8khz_telephony

Narrowband prompts designed for telephony and call-center evaluation (8 kHz playback target). These measure intelligibility, clarity, and robustness under bandwidth constraints.

Telephony Use Cases

Use Case	Samples
collections	110
edge_cases	110
sales_bot	110
support	110
survey_bot	110

Telephony total: 550

Supported Languages

Language	Code
English	en
Hindi	hi
Bengali	bn
Tamil	ta
Telugu	te
Kannada	kn
Malayalam	ml
Marathi	mr
Gujarati	gu
Odia	od
Punjabi	pa

Language coverage is shared across both evaluation tracks.

Dataset Structure

Each JSONL row contains:

{
  "text": "The text to be synthesized",
  "language": "hi",
  "usecase": "Conversational Bots",
  "eval_category": "high_quality"
}

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