The following is an n-best list of speech recognition hypotheses for an utterance where each potential hypothesis is separated by a newline character. For each hypothesis, the acoustic-model cost and language-model cost are provided in this format "[acoustic-model cost, language-model cost ]". Low acoustic-model cost and language-model cost means that we are more confident about that ASR hypothesis. Determine which of the following n-best hypothesis is the most likely one.

tell [-41.1, -130.8]\nstop [-36.7, -131.5]\nhello [-33.8, -134.4]\ntalk [-36.8, -130.9]\n[0, 0]\ncall [-34.4, -132.9]\nno [-31.2, -135.9]\ntop [-35.7, -131.2]\nyeah [-30.4, -135.4]\nwhat [-31.9, -132.7] Respond with at most 700 words.
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