## 1 Introduction  
The use of videostroboscopy in clinical voice assessment is limited in providing enough details about the vocal fold vibrations. This is due to the low frame rate of videostroboscopy, which can only produce an illusory slow-motion of a vibratory cycle [1]. The synchronization of the videostroboscopy to acoustic signals limits its use to capturing the vocal folds vibration only when the vibration is periodic [2, 3]. Hence, these limitations become more prominent when studying aperiodic vocal fold vibrations, which is often the case in patients with voice disorders. The use of laryngeal high-speed videoendoscopy (HSV) overcomes the limitations of videostroboscopy with low temporal resolution [4, 5]. HSV can provide large amounts of details on the intra-cycle vibratory characteristics of the vocal folds, and it can be used to study dysphonic voices [6, 7, 8]. Utilizing HSV in connected speech enables us to study voice disorders in a natural context, where voice disorders reveal themselves [9, 10]. Adductor spasmodic dysphonia (AdSD) is a type of focal dystonia that affects the laryngeal muscles and interferes with vocal fold vibrations and voice production. Perceptually, AdSD results in a strained, broken, breathy, and strangled voice [11] and is commonly misdiagnosed with muscle tension dysphonia or vocal tremor [12]. This leads to delayed, ineffective, time-consuming, and expensive treatments, causing obvious patient frustration [12]. Case history, auditory-perceptual voice evaluation, acoustic analysis, and videostroboscopy are widely used for the diagnosis of AdSD and treatment efficacy assessment [13]. A three-tiered approach including a screening questionnaire, speech examination, and nasolaryngoscopy examination was proposed for AdSD diagnosis [14]. Although relatively useful [12; 15; 16], the diagnosis may still not be certain using these tools including the three-tiered approach [16]. Currently, there are no standardized diagnostic tests for AdSD, and the clinical diagnosis depends on the specialists in the voice care teams [14]. Current literature studying AdSD using HSV has focused on steady-state phonation [17; 18]. [PERSON] et al. noted micromotions and oscillatory breaks in AdSD patients when compared to muscle tension dysphonia [17], while [PERSON] and colleagues studied the onset of voicing and found a subset of their AdSD patients presented with differences in the onset phonation gestures [18]. However, AdSD symptoms typically present during connected speech, not sustained phonation. Therefore, studying sustained phonation may limit task-specific characteristics of AdSD. We have previously developed several methods for automated analysis of HSV data during connected speech [9; 10; 19; 20; 21; 22; 23; 24]; however, we still need to conduct manual analysis in order to build new measures and validate our automated methods. The purpose of the current study is to expand on the above-mentioned studies by obtaining connected speech samples in patients with AdSD and those with no voice disorder (also known as normophonic) voices and quantitatively analyze the beginning and end of each phonation. Toward this goal, the glottal attack time (GAT) and glottal offset time (GOT) were measured for AdSD and normophonic voices in the connected speech samples. The GAT was defined as the time between the first oscillation and the first contact of the vocal folds at the phonation onset [25]. AdSD is characterized by difficulty at the onset of voicing [26]; hence, the GAT would be a suitable measure to capture the abrupt voice initiation [25]. The transitory phonatory phases at the onset and offset of phonation have clinical importance and have been studied during sustained vocalization [27]. The GAT measure was validated previously using electroglottography and acoustic data to characterize the onset of phonation [25]. The GOT was defined as the time difference between the last oscillation and the last contact of the vocal folds [28].