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Treat low-evidence candidate speech as unassessed

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評価

難易度
5/5
見積もり時間
1週間以上
初心者へのやさしさ
35/100
issue の種類
機能追加
明瞭さ
おおむね明確
活発さ
活発
技術スタック
rust
領域
backend

調査の方向性

Read PR #423 and follow-up issues #123 and #553 to understand the existing communication eligibility flow. Locate where candidate turns determine assessment eligibility and review how transcript data is recorded and used. Agree on a deterministic evidence threshold before implementation; done means the listed transcript cases leave communication unassessed when evidence is insufficient, with coverage for each case.

索引モデルが issue の本文から書いたものです。

説明

Background

PR #423 fixed the zero-candidate-turn case by leaving communication
unassessed when no candidate speech was recorded.

(guys can check out pr#423 first before fixing this issue)

However, the current assessment eligibility is still mainly determined by
whether at least one candidate turn exists. A transcript segment containing
a cough, background noise, a filler word, or a stray ASR result may therefore
enable communication scoring even when there is not enough meaningful
evidence to evaluate the candidate.

This is a follow-up to #123 and #423.

Current behavior

A session may be treated as communication-assessable as soon as one
candidate turn is recorded.

For example, the following may potentially count as evidence:

  • A cough or background noise transcribed as text
  • Filler-only speech such as "uh" or "um"
  • A short acknowledgement such as "yes"
  • A stray or malformed ASR transcript
  • Interviewer audio captured again through microphone echo

This may cause the report to generate a communication score and strengths
that are not supported by meaningful candidate speech.

Expected behavior

Communication should only be assessed when the transcript contains enough
meaningful candidate speech to support a reliable evaluation.

Sessions should distinguish between at least these states:

  • No candidate speech captured
  • Candidate speech captured, but evidence is insufficient
  • Sufficient evidence for communication assessment

For the first two states:

  • communicationScore should remain null
  • Communication should be displayed as unassessed
  • Communication strengths should not be invented
  • Coding activity, test runs, and code comments should not be treated as
    spoken communication

Proposed direction

Introduce a deterministic communication-evidence classification instead of
using only candidate_turns > 0.

The exact threshold should be discussed before implementation. Possible
signals include:

  • The number of substantive candidate turns
  • The amount of meaningful transcript content
  • Filtering filler-only and noise-like transcripts
  • Speaker attribution and ASR confidence, when available

The implementation should avoid relying on a model alone to decide whether
the available evidence is sufficient.

Validation

Add coverage for:

  • Zero candidate turns
  • Noise-only or cough-like transcripts
  • Filler-only speech
  • A single short acknowledgement
  • One substantive explanation
  • Multiple meaningful candidate responses
  • Mixed noise and meaningful speech
  • Empty or malformed ASR results
  • Interviewer echo incorrectly captured as candidate speech

Out of scope

This issue does not require implementing general-purpose audio denoising or
speaker recognition. Its scope is deciding whether the recorded transcript
contains enough reliable candidate evidence for communication assessment.

主要言語
Rust
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平均マージ
1日 12時間
マージ済み PR(30日)
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環境構築

はじめの一歩

  1. issue を最後まで読み、次にプロジェクトのコントリビューションガイドを読みます。
  2. 着手することを issue にコメントします — 二人が同じ作業をするのを防げます。
  3. リポジトリをフォークし、ブランチを切って変更します。
  4. issue 番号を参照したプルリクエストを送ります。

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