This paper introduces the Speech Labeling and Modeling Toolkit version 1.0 (SLMTK 1.0), which facilitates automatic labeling of text and speech for constructing text-To-speech (TTS) systems and speech analysis. The SLMTK 1.0 supports mixed Mandarin-English speech and the associated texts. The following seven steps then process the inputs: 1) text analysis, 2) acoustic feature extraction, 3) linguistic-speech alignment, 4) integration of syllable-based linguistic and prosodic-Acoustic features, 5) prosody labeling, 6) construction of prosody generation model, and 7) construction of acoustic models for speech synthesis. The outputs of the seven steps are, respectively, 1) linguistic labels, 2) acoustic features, 3) linguistic-speech alignment, 4) syllable-based linguistic and prosodic-Acoustic features, 5) prosody tags, 6) prosody generation model, and 7) acoustic models for speech synthesis. The SLMTK 1.0 has been applied to constructing personalized TTS systems for augmentative and alternative communication. In addition, the toolkit has also been applied to phonetic and prosodic labeling of L2 Mandarin speech to facilitate prosody analysis studies. The SLMTK 1.0 is available at https://slmtk.ce.ntpu.edu.tw for non-commercial use and welcomes all parties to enrich the functions of the SLMTK.